Reduction in the variability of the iron castings production process by the use of the thermal analysis software ITACA

Similar documents
ITACA TM PRODUCTION AND DOSING SYSTEM

Technical Note on SGR-Win

IMF Ingot Metallurgy Forum

APPLIED PRESSURE CONTROL RISERING OF A DUCTILE IRON SAND CASTING. Claudia FLORES, Eudoxio RAMOS, Marco RAMÍREZ and Carlos GONZÁLEZ.

One Solution For "Monday Morning" Iron

Maximization and Control of Nodular Iron Melt s Self-Feeding Characteristics to Minimize Shrinkage Vitor Anjos 1,a*, Carlos A.

Compacted graphite iron (CGI) as a kind of defect was

Influence of Secondary Introduction of Carbon and Ferrosilicon on the Microstructure of Rotary Furnace Produced Ductile Iron

Determining the Optimum Level of Inoculant Addition by Thermal Analysis A Case Study

Cast Iron Foundry Practices 1. The family of cast irons

MICROSTRUCTURE BY THERMAL ANALYSIS

Cast Iron Foundry Practices 3. Metallurgy of grey irons

D.1 High Integrity Magnesium Automotive Castings (HI-MAC)

Iron Recalesence By Yohan Tremblay and David Sparkman December 2015

An investigation of the effect of five different inoculants on the metal expansion penetration in grey cast iron

Inoculation has a vital role to play in the continuing progress

The excellent performance of austempered ductile iron

Quality of ductile iron

Improving Inoculation in Thin Sectioned Ductile Iron Castings. Marc King Metallurgist Hiler Industries - LaPorte, IN

Introduction: Ferrous alloys - Review. Outline. Introduction: Ferrous alloys

Chromium and copper influence on the nodular cast iron with carbides microstructure

Analysis of Cast Iron Using Shimadzu PDA-7000

Technology Improving Your Meltshop Performance

Influence of Remelting AlSi9Cu3 Alloy with Higher Iron Content on Mechanical Properties

GSMPM BLOW CHARGE MODEL IMPLEMENTATION AT ARCELORMITTAL TUBARÃO*

Snam Alloys at International Trade Fairs Brazil I Mexico I Poland I Turkey

International PhD Foundry Conference

Influence of Semi-Solid Isothermal Heat Treatment on Microstructure of Gray Cast Iron

Production of a Heavy Section Ductile Iron Grinding Table

COMPARATIVE STUDY OF TENSILE STRENGTH OF DUCTILE IRON ALLOYED WITH AN EQUAL AMOUNT OF COPPER AND NICKEL SEPARATELY

GASTEC AND DENSITEC. Reduced Pressure Test and Density Index. Process Control for Porosity

Fundamentals of Casting

EFFECTS OF INOCULATION ON VARYING WALL THICKNESSES IN GRAY CAST IRON RECYCLING

INOCULATION OF GREY AND DUCTILE IRON

What to do for Increase Mechanical Properties of Aluminum alloy in HPDC

Compensation for Boron in Pearlitic Ductile Iron

New theory on how casting filters work

EXPERIMENTAL INVESTIGATION ON THE EFFECT OF COPPER UPON EUTECTOID TRANSFORMATION OF AS-CAST AND AUSTENITIZED SPHEROIDAL GRAPHITE CAST IRON.

Design and Solidification Simulation of Exhaust Manifold Made of SiMo Ductile Cast Iron

Effect of Charge Materials on Slag Formation in Ductile Iron Melts

Thermal Analysis and Process Control for Compacted Graphite Iron and Ductile Iron

Formation of microstructures in the spheroidal graphite cast iron

Effect of Atmosphere in a Foundry Mould on Casting Surface Quality

Available online at ScienceDirect

Thermal Analysis. 1 de 10 3/1/ :33. Given at the Ductile Iron Society Meeting 6/14/01 By W.F, Shaw & B.T. Blatzer

IKCO. Introduction to Iran Khodro Industrial Group (IKCO)

SiMo Ductile Iron Crystallization Process

Studies of Gas Atmosphere Near the Metalmould Interface During Casting and Solidification of Ductile Iron

Outline CASTING PROCESS - 2. The Mold in Casting. Sand Casting Mold Terms. Assoc Prof Zainal Abidin Ahmad Universiti Teknologi Malaysia

The influence of metallic charge on metallurgical quality and properties of ductile iron

Foundries. LIUC - Ingegneria Gestionale 1

Infrared thermography used to analyze the effects of crystallization process in Al alloys

>> Iron << Aluminum Steel Copper. MeltLab Systems Copyright 2014 All rights reserved 844-Meltlab

Amount of Free Carbon at End of Solidification in Spheroidal Graphite Iron Castings

CAST IRON INTRODUCTION. Greater amount of carbon It makes iron brittle Range 2.5 to 4 percent carbon Why it is called cast iron?

The Future and Present of Thermal Analysis of Aluminum

Grain Refinement of Al-Si Alloys by Nb-B Inoculation. Part 1: Concept Development and Effect on Binary Alloys. Part 2: Application to Commercial

A.S. Kiran 1, V. Desai 2, Narendranath 2 and P.G. Mukunda 1. R G g

ENGINEERING COUNCIL CERTIFICATE LEVEL ENGINEERING MATERIALS C102 TUTORIAL 3 THERMAL EQUILIBRIUM (PHASE) DIAGRAMS

CRYSTALLIZATION OF METAL ALLOYS

Steel Castings in Architecture PDH Code: AIA A781 AISC G295

An establish attempt of reasons of machining splinter formation in AC47000 alloy high pressure die castings

33Strongest Molten Metal Filter Material Available. 33Cut Finishing Room Cycle Time & Cost. 3 3 Significantly Reduce Airborne Particulate Emissions

Solidification and Crystallisation 5. Formation of and control of granular structure

COMPUTER-AIDED DUCTILE IRON COOLING CURVE ANALYSIS

ASPECTS ABOUT THE PROPERTIES OF A BAINITIC DUAL- PHASE S.G. CAST IRON

FERRO ALLOY DESIGN, FERRO ALLOY SELECTION AND UTILISATION OPTIMIZATION WITH PARTICULAR FOCUS ON STAINLESS STEEL MATERIALS

NUMERICAL SIMULATION AND PROCESS OPTIMIZATION ON CAST STEEL BEARING SLEEVE

vii TABLE OF CONTENTS CHAPTER TITLE PAGE DECLARATION DEDICATION ACKNOWLEDGEMENT ABSTRACT ABSTRAK

Graphite and Solid Fraction Evolutions during Solidification of Nodular Cast Irons

The Production Technology of a Modern Material for Heavy Automotive Vehicles - A Compacted Graphite Iron (C.G.I.)

Austempered Ductile Iron for successfully lightweight designed components

COMPUTER SIMULATION AND EXPERIMENTAL RESEARCH OF CAST PISTON POROSITY

Microstructure and Mechanical Properties of ADI Depending on Austenitization Methods and Parameters

Phase change processes for material property manipulation BY PROF.A.CHANDRASHEKHAR

Wear Characteristics of Unalloyed and alloyed LM25-Aluminium casting

Ferrous Alloys. Metal Alloys. Ferrous. Non ferrous. Grey iron. Carbon Low Alloy High Alloy. Nodular iron White iron Malleable iron Alloy cast irons

Process Control for the Reliable High Volume Production of Compacted Graphite Iron

Computer Design of Feeding Systems for Iron Castings. Or, How to Avoid Years of Problems with 20 Minutes of Analysis

Ductile Iron for Heavy Section Wind Mill Castings: A European Experience

Inoculation Effects of Cast Iron

The Volume Deficit of Iron- Carbon Alloys

Crystallization, microstructure and mechanical properties of silumins with micro-additions of Cr, Mo, W and V

International Journal of Scientific & Engineering Research, Volume 7, Issue 2, February ISSN

Physicochemical preparation of the AlSi11 alloy for castings of fire-fighting equipment

This is an author-deposited version published in : Eprints ID : 16715

Method to Improve Inoculant Efficiency

Effects in Ductile Iron

& STRUCTURES TECHNICAL SESSION T6

Solutions for Sustainable Success

Arch. Metall. Mater. 63 (2018), 4,

OBTAINING THE SPHEROIDAL GRAPHITE IN CAST IRON BY ELECTROLYSIS OF THE SLAG OF THE MGO MGF

Investigation of Shrinkage Defect in Castings by Quantitative Ishikawa Diagram

Engineering and Foundry Department, AZTERLAN, Aliendalde auzunea 6, E Durango (Bizkaia), Spain

Effect of Addition of Inoculants on Mechanical Properties & Wear Behaviour of Grey Cast Iron

Engineering Materials

Casting-Comparisons. Mech 423 #2 1

World Academy of Science, Engineering and Technology International Journal of Materials and Metallurgical Engineering Vol:8, No:4, 2014

Effect of Gating Sprue Height on Mechanical Properties of Thin Wall Ductile Iron E. F. Ochulor, S. O. Adeosun, S. A. Balogun

R.C. INFORMATICA S.R.L. INOVATIVE ERP SOFTWARE SPECIALIZED FOR FOUNDRIES FONDWEB

Transcription:

E-journal Issue 01-2013 1 Reduction in the variability of the iron castings production process by the use of the thermal analysis software ITACA ANDREA ZONATO 1, MASSIMO AGIO 2, CLAUDIO MAZZOCCO 2 1 ProService Srl, Massanzago (PD) ITALY, www.proservicetech.it, www.itaca8.com 2 Infun For, Rovigo (RO) ITALY, www.infun.es Abstract The production of high quality cast irons is a very complex process, subject to the effect of many factors affecting the final result. A poor control over such phenomena produces a high variability in the cast iron, with unavoidable effects on the quality of the produced castings. A variance in the productive process always entails higher costs, even if not scraps have been produced, since it needs to be managed. This article illustrates the results gained through a project aimed at quantifying and decreasing, by the use of the ITACA thermal analysis software, the variability in the productive process of InfunFor S.p.a., a foundry with premises in Rovigo (Italy) and belonging to the Infun Group. All the project stages (study of the initial situation, analysis of the causes, identification of the action modes and analysis of the obtained results) will be described and analysed, both from the point of view of the foundry and of the ProService consultants, who have supported the Infun For staff during its execution. The production of high quality iron castings is a very complex process, which includes several stages. Each stage sees the involvement of different factors, whose values have to be kept within definite ranges. For example, the chemical composition and the amount of the materials constituting the metallic charge, the additives and the corrections introduced in the molten metal or, in case of nodular irons, the features and the amounts of the materials introduced to produce the nodularization reaction. Some of such values can be easily managed and set (like for example the amount of the added materials), while other values cannot be identified with precision or adjusted (like for example the chemical composition of the pani di ghisa or the nodularization treatment yeld). This implies an unavoidable variability in the features (and so in the quality) of cast iron in the various process phases. In order to prevent part of the production from not meeting the specifications, such a variability needs to be managed, and this will entail an increasing in the costs. Technical and sales engineer, e-mail: a.zonato@proservicetech.it Production Manager, e-mail: massimo.agio@infun.es Chief Analysis Laboratory, e-mail: claudio.mazzocco@infun.es

E-journal Issue 01-2013 2 Introduction Importance of the initial variability management In a generic process constituted by various phases, the variability in the final product is the sum of the variabilities introduced in each phase. For simplicity, dividing the foundry process in only two stages (preparation of the base iron and treatments in ladle), the variability in the final iron will be given by the sum of the variability introduced by the treatment in ladle and the variability got from the base iron. As a consequence, a high variability in the base iron will lead to a higher variability in the final iron, being much more difficult and expensive neutralizing it in the second phase of the process (Figure 1). Figure 2: quality trend of the final iron with low variability in the base iron Importance of the thermal analysis Historically, the control of the cast iron quality during the productive process in foundry has always been based on the chemical analysis of the metal: some ranges of acceptability on the contents of the main chemical elements were defined for each type of cast iron. This approach is grounded on the assumption that to a certain chemical composition the same results in the castings quality always correspond. Nevertheless, in the solidification process many physic and thermodynamic factors are involved and their influence is not irrilevant: with the same chemical composition it is possible to get different results, in terms both of casting properties (matrix structure, quantity and shape of the graphite, mechanical properties, etc.) and of probability of metallurgical defects formation (cementite, porosity, shrinkages, etc.). Figure 1: quality trend of the final iron with a high variability in the base iron Thermal analysis allows to carry out a direct evaluation of these phenomena in a simple, quick and cheap way. Its use in the foundries open new ways to the process control, since it allows to: In the same way, acting in order to decrease the variability in the first stage of the process, it becomes possible to reduce the variability also in the final iron, obtaining at reasonable costs a production which is consistent with the specifications (Figure 2). determine the real position of the cast iron in the Fe-C state diagram (this position does not depend only from the chemical composition); measure the real effect of of the chemical elements added in alloy aggiunti in lega (for exam-

E-journal Issue 01-2013 3 ple, the added frazione di carbonio which has been effectively dissolved solubilizzata); evaluate the degeneration of the cast iron in case of overheatings or long periods of permanence in the furnace; measure the efficiency of the introduced additives, allowing to identify both the best material (for example in the test of two different inoculants), and the optimal amount (maximation of the result minimizing the cost); evaluate also the effects due to factors which cannot be easily measurable (for example, the cast iron oxidation level). The successful aspect of this kind of analysis is linked to its nature of direct measure: without the need of having to suppose and forecast the effects deriving from the presence or amount of a chemical element, all the possible mistakes due to a wrong estimation or to the exclusion of phenomena considered as minor are removed. Thermal analysis gives a picture of the metallurgical status and allows both the carry out of focused corrections and the assessment of their effectiveness. Use of thermal analysis to reduce variability the chemical composition; the main thermal parameters involved in the solidification process; the nucleative properties of the cast iron; the real position of the cast iron in the Fe-C state diagram; the bath temperature. ITACA MD does not only give evaluations on the cast iron status, but also simplify the correction operations on the found anomalies, suggesting the amounts of the materials to be added to the bath (Figure 4). It also enables the operators to see the quality trend of the final iron in the pouring lines, in so that the cast iron can be corrected directly in the furnace or in the ladle. ITACA MD supports the procedures management, that are series of operations that have to be carried out during the prepration of the cast iron in the melting furnaces and whome results are stored for possible analysis. Based on the know-how and expertise accrued in foundry during the years, ProService has developed the new version of its thermal analysis software for the control of the cast iron quality in the furnaces: ITACA MD (MeltDeck). ITACA MD is a powerful and flexible tool, realizaed on the grounds of the specific needs of the foundries melting shop. It makes a complete evaluation of the cast iron quality, supplying the operators with few, simple and clear indications wsimply by pouring a sample of cast iron in the special cups (Figure 3). The software allows to define some ranges of acceptable values for each parameter and highlights possible anomalies in case some values do not fall within the acceptability ranges. Its use allows to manage: Figure 3: ITACA MD main interface

E-journal Issue 01-2013 4 Figure 4: ITACA MD correction interface The use of ITACA thermal analysis software to stabilize the quality of base iron has been successfully experimented in many foundries. In particular, here below there is the description of the results gained in InfunFor S.p.a., with premises in Rovigo (Italy), belonging to the Infun group. Case study: reduction of the variability in Infun For foundry Claudio Mazzocco - Analysis Laboratory- Massimo Agio - Production Manager - Introduction of the company Infun For is a leading company in Europe for the manufacturing of mechanical parts and high quality and safety components for the auotmotive industry. The factory of Rovigo, established in 1971 as Peraro For, has been acquired in 2000 by the Infun Group, a multinational corporation specilized in the iron castings sector for the automotive. The factory has a total surface of 105.723 m2, of which 24.744 m2 indoors, with a productive capacity of 60.000 tons/year. The company has the following certifications: ISO/TS 16949 (Quality management systems for automotive production), ISO 14001 (Environmental management systems) e OHSAS 18001 (Occupational health and safety management). The typical production mainly consists of engine parts (shafts, bielle gruppi cappello), braking systems (dischi e pinze grezze)and transmission and suspension systems (scatole cambio e differenziale, bracci sospensione, mozzi ruota), and includes both gray iron (where the graphite is present with a laminar structure) and nodular iron (where the graphite is present with a nodular structre) parts. This second morphology reduces the mechanical strains and highly increases the main mechanical properties. The production floor of the foundry is constitued by 4 melting furnaces (Figure 5), where the materiali grezzi di carica are melted, 2 green sands moulding plants (Figure 6), where the cast iron is poured in the moudls, and a cores moulding floor. Furthermore, the factory has a R&D department, including a Planning office, a patterns shop and a chemical and phiysical laboratory (Figure 7). For what the process quality control is concerned, the foundry uses not only the traditional and most common procedures (chemical and micrographic analysis), but also a modern system of thermal analysis, constituted by 2 units installed respectevely in the melting and in the pouring station, each one equipped with two acquisition supports and an interface which allows to see the cooling curves, the main thermal parameters and a series of dashboards for the metal quality monitoring, both from the matallurgic and the defects formation point of view, in a very userfriendly way. The configuration of this system allows the monitoring of the cast iron characteristics along all the productive process, from the base metal preparation to the pouring in flask. R&D activities At the end of 2010 it was started a study to evaluate the possibility of reducing scraps (and their costs) due to metallurgical defects by the use of thermal analysis. In collaboration with the software supplier (ProService???), and with the support of the inoculants supplier, 1500 cooling curves have been analyzed, in

E-journal Issue 01-2013 5 Figure 5: Melting furnaces dep. Figure 6: Moulding dep. suityab Figure 7: Chemical-physical lab.

E-journal Issue 01-2013 6 various way. The obtained results proved interesting and, in some cases, unexpected (like for example the great variability of the cast iron position in the state diagram). In particular, this analysis showed how a considerable part of the production was poured with a hypo-eutectic iron; this aspect had never been noticed before, since the pattern plates were suitable also for this kind of solidification and so no scraps were obtained. During the year 2011 the activity was focused at reducing the variability of cast iron through a strict definiton of the parameters to be monitored, concerning both the thermal analysis and the used raw materials (chemical composition) and the addictions carried out in the process (kind and quantity). Difficulties in fulfilling the project The main difficulty in fulfilling this project was the collection and the analysis of thousands of production data, necessary to define the parameters to be monitored. For example, for the definition of the optimal value of the eutectic factor it was necessary to correlate the data of this parameter with the carbon, silicon and residual magnesium content and the minimal temperature of the eutectic reaction obtained from the analysis carried out on about 1500 ladles. the results were then compared with the data relevant to the scraps found in the various productions. In the chart 1 there is an example of the collection and analysis of the data for the identification of the work target. Table 1: Determinazione del contenuto ottimale di Carbonio in funzione del fattore eutettico %C %Si %Ceq %Mg residuo Temp. eutettica Eutettico 3.64 2.28 4.40 0.047 1143 29 3.66 2.33 4.44 0.043 1141 27 3.56 2.35 4.34 0.033 1145 29 3.62 2.32 4.39 0.040 1144 29 3.65 2.27 4.41 0.039 1142 31 3.66 2.29 4.42 0.041 1147 33 average 3.63 2.31 4.40 0.040 1144 30 3.62 2.33 4.40 0.041 1143 35 3.64 2.25 4.39 0.035 1145 38 3.65 2.35 4.43 0.039 1147 38 3.68 2.32 4.45 0.036 1147 39 3.63 2.29 4.39 0.045 1145 39 3.67 2.43 4.48 0.046 1146 39 average 3.65 2.33 4.42 0.040 1145 38 3.70 2.35 4.48 0.046 1142 40 3.65 2.33 4.43 0.039 1146 40 3.64 2.30 4.41 0.038 1146 40 3.67 2.42 4.48 0.035 1147 40 3.69 2.26 4.44 0.045 1146 40 Continua nella pagina seguente...

E-journal Issue 01-2013 7...continua dalla pagina precedente %C %Si %Ceq %Mg residuo Temp. eutettica Eutettico 3.69 2.21 4.43 0.042 1146 40 3.66 2.37 4.45 0.032 1146 42 3.60 2.32 4.37 0.044 1147 43 3.70 2.24 4.45 0.034 1146 43 3.69 2.27 4.45 0.038 1145 44 3.70 2.39 4.50 0.039 1146 46 3.68 2.42 4.49 0.041 1143 50 average 3.69 2.31 4.46 0.038 1145 43 3.80 2.32 4.57 0.034 1140 51 3.70 2.40 4.50 0.047 1144 51 3.74 2.26 4.49 0.038 1143 51 3.72 2.32 4.49 0.029 1146 51 3.69 2.43 4.50 0.045 1141 54 3.74 2.36 4.53 0.045 1142 54 3.75 2.28 4.51 0.043 1142 54 3.68 2.32 4.45 0.040 1143 55 3.65 2.36 4.44 0.036 1145 55 average 3.72 2.34 4.50 0.037 1142 53 3.81 2.26 4.56 0.041 1141 56 3.65 2.68 4.54 0.065 1144 56 3.78 2.37 4.57 0.041 1144 60 3.69 2.33 4.47 0.035 1145 60 average 3.71 2.38 4.50 0.041 1143 57 Table 1: Determinazione del contenuto ottimale di Carbonio in funzione del fattore eutettico innovation contents The main innovation this project has brought is the new approach in evaluating of the cast iron quality, from the static one (based on absolute references on the chemical composition) to a dynamic one, based on the analysis of the thermal parameters in every single casting. This new approach led to the definition of specific intervention procedures to be carried out promptly in the production process, both in the melting and in the pouring furnaces, by specific actions on the ferro-alloys addictions, temperature variations and inoculants amounts. The application of such procedures has allowed to reduce significantly the scraps (both internal and external) and to ensure a higher stability of cast iron.

E-journal Issue 01-2013 8 Obtained results The main objectives of the project were the reduction of defects (in particular, of the internal backwashes) in the castings, the stabilization of the process from the eutecticity point of view and in the ferro-alloys consumption. All these objectives have been achieved, with also considerable savings on the additivation products used in the process. In particular, thanks to the introduced improvements, a decrease of scraps has been achieved (Figure 8). Strongly hypoeutectic irons, in which the amount of primary austenite that forms in the first part of the solidification is very high; Hypoeutectic irons, similar to the previous ones but with smaller formation of primary austenite in the first part of the solidification; Hypoeutectic irons with low formation of primary austenite or eutectic irons with low values of recalescence (optimal type of cast iron for such castings: target to be reached); Two classes of cast irons at the limit of acceptability (slight deviations from the target), that do not necessarily produce castings with defects, but their pouring in flask entail a certain degree of risk; Figure 8: andamento dello scarto complessivo Eutectic irons with high reclescenses, that are not adivised to be used in the production of the examined types of castings, since they often causes working problems to the castings feeding system; Description of the adopted methodology Hypereutectic irons that, if used to product thess kinds of castings, are almost warranty of obtaining scraps. Andrea Zonato -ProService Tecnology- The starting point of the analysis has been the internal scraps trend: in fact, the foundry had a very variable scrap rate, especially for some kinds of castings: batches free of defetcs alternated with batches containing a certain portion of scraps. The analysis carried out on the production data history has highlighted a considerable variability in the final iron quality, especially in relation to the position in the Fe-C state diagram. The produced cast irons have been classified in 7 classes: The figure 9 represents the cast iron poured in May 2010 (that is the starting moment of the quality stabilization project), classified according to the classes above described. As it can be observed, the number of produced castings falling within spoecifications is only 30% of the total; also including the castings slightly deviating from the target, only 50% of the total is reached. Analysing the castings that are not within specifications, a connection with the Caron equivalent can be easily noticed; furthermore, such anomalies are equally divided between too high and too low values.

E-journal Issue 01-2013 9 however amplify the effects of the already existing one, deriving from the previous stages of the productive process. These results have allowed the hypothesis that the most part of the measured variability originated during the preparation of the base iron. By studying the changes brought by the spheroidization treatment to the cast iron features and combining them with the results got from the analysis of the hystory of data of final iron, 4 classes have been defined in order to group and analyse the base irons produced in the melting furnaces: Figure 9: Variability of final iron poured in flask (starting situation) This fact suggests the presence of a problem of variability management along the whole productive process, that therefore has been broken into subprocesses to be singularly analysed: 1. Base iron preparation; Hypoeutectic cast irons with too high quantity of primary austenite, generally due to too low values of Carbon equivalent; Hypoeutectic cast irons with a correct quantity of primary austenite that, once treated, will allow to obatin a final iron in line with the fixed target ; Eutectic cast irons, with a too high value of Carbon equivalent; Hypereutectic cast irons. 2. Spheroidization treatment in ladle; 3. Pouring in flask through pouring furnace. The treatment in ladle is the classic Tundish cover process, that in this foundry is always carried out according to a standard procedure, without varying materials nor used quantities. A quick survey has allowed to exclude the hypothesis according to which the main part of the final iron variability were originated in this stage of the production process. With regards to the stage of the pouring in flask, the only operation that has been carried out is an inoculation on the flow, keeping constant the supplied quantity. The effect of the inoculant can change according to the cast iron features, but, as some trials have demonstrated, the cast iron features being equal, the inoculant develops always the same effect. Therefore, it does not introduce a new variability, but can Figure 10: Base iron variability (starting situation) In this phase of the productive process it is important to distinguish the out-of-target irons according to the possibility of action:

E-journal Issue 01-2013 10 Cast irons with a too low Carbon equivalent can be easily corrected, acting both in the melting furnace and in the ladle, allowing the problem solving; Cast irons with a slightly high value of Carbon equivalent can also be corrected in the metling furnace, but only with difficulty in the ladle since they require the execution of extraordinary actions that, in some cases, cannot be possible to execute; Figure 11: Variation of base iron after the change of the metallic charge in the melting furnaces The hypereutectic cast irons cannot be corrected in the ladle and only with difficulty in the metling furnace (since after the reduction of Carbon equivalent it is necessary to re-establish the whole chemical composition of cast iron). In the Figure 10 it is possible to observe the subdivision of the cast irons produced by InfunFor in May 2010. Comparing such data with the ones obtained from the final iron analysis of the same period, it is possible to see a substantial Confrontando questi dati con quelli ricavati dall analisi della ghisa finale nello stesso periodo, è possibile notare un conservation of the proportions of base and final amount of iron meeting the target, with Carbon equivalent too high or too low. In the light of this analysis, the foundry has decided to change the charge composition in the melting furnaces, in so to reduce the Carbon equivalent obtained on average, with the aim of voiding the production of irons with too high Carbon equivalent (situation difficult to correct) and, as a consequence, the scraps connected to this cause. This action hasd actually void the production of hypereutectic base irons and drastically reduced the amount of eutectic base irons, even if increasing the amount of the base iron too hypoeutectic, as it can be seen in the Figure 11, which represents the evolution of the base iron production, from May to October 2010. During this last month, the production of base iron within the target exceeded Figure 12: Variability of the base iron produced in October 2010 Figure 13: Variability of final iron poured in flsk after the reduction of the Carbon equivalent in the base iron

E-journal Issue 01-2013 11 the 50%, but at the same time significantly increased also the amount of base iron with too low Carbon equivalent (Figure 12). These variations have of course reduced the variability of the final iron, as it is showed in the Figure 13, but the consequent reduction in the quantity of produced scraps has not been considered as sufficient. In order to furtherly decrease the base iron variability a new procedure for the preparation of the base iron has been formulated and tested; this procedure envisages the execution of certain thermal and chemical analysis after the execution of each operation for the preparation of the base iron and whose results are used to define the subsequent operation (like for example the types and amounts of the correctives to be introduced in the metal). Figure 14: Variation of the base iron after the introduction of the new preparation procedure The quality trend was monitored for the subsquent 6 months and is represented in the Figure 14: you can easily observe a gradual reduction of the out-of-target amount of cast iron, as the operators became familiar with the new procedure. In April 2011 the percentage of in-target base iron reached close to 80 % and uncorrectable out-of-target castings have practically disappeared (Figure 15). The effects on the final iron variability are represented in the Figure 16: during the month of April 2011 the percentage of in-target irons exceeded 70% (compared to 30% of the same period in the previous year); if we include also the slightly out-of-range, the total amounts to 90% (compared to 50% of the previous year) and, the most important thing, the cases of hypereutectic or eutectic final iron with high recalescense, which provoked production batches with a very high scraps rate, are disappeared. Figure 15: Variability of the base iron produced in the month of April 2011 Analysis of the obtained benefits The introduction of an accurate procedure for the preparation of the base metal in melting furnaces has allowed to drastically reduce the variability in the final itron, acting in a only stage of the productive process (and so minimizing the effect on the Figure 16: of the final iron poured in flask in the month of April 2011

E-journal Issue 01-2013 12 normal series of the workers operations) and so obtaining a drastic reduction of the internal scraps rate, that was tha main target of the project. Nevertheless, the benefits are not limited to the (however important) scrap reduction. Variability, in a productive process, always entails a costs increasing, connected with the production of scraps or to the actions adopted to correct the anomalies. A working method enabling a reduction of the variability in the base iron allows a reduction of process costs through: a minimization of the use of corrective materials, which are used only in the necessary amount and in the stage of the process in which they maximize the yield; an energy saving, eliminating overheating in melting furnaces and allowing, in some cases, a reduction of the pouring temperature; the possibility of using less costly materials, both in the melting furnaces charge and in the treatment and correction operations. The sum of these contributions can lead to obtain a significant annual savings that, in cases of high-volume, can reach six figures. It is therefore an investment with a quick return, both on the economical and qualitiative side.