Yield Improvement of Cast Part Using Computer Aided Casting Simulation

Similar documents
Optimum Design and Analysis of Riser for Sand Casting

STUDY OF PISTON SLEEVE MANUFACTURED BY SAND CASTING PROCESS TO REDUCE REJECTION RATE USING SIMULATION SOFTWARE

DESIGN AND ANALYSIS OF RISER FOR SAND CASTING

Design Optimization of Feeding System and Solidification Simulation for Cast Iron

Numerical Simulation of Reverse Engineered Automotive Casting

Optimized Design of Risering System for Casted Component by Using Web Based Online Simulation E-Tool

ISSN (Print) Research Article. DOI: /sjet *Corresponding author Titas Nandi

Numerical Simulation for Casting Defect Prediction of Steel Casting -A Case Study

Solidification Analysis and Optimization Using Pro-Cast

Investigation of Solidification Affecting Parameters of Sand Casting using ANOVA

Some Study on Determination of Riser Sizes for Aluminium Alloy Castings by Using Shape Factor Method

Predicting the Casting Defects through Simulation

DEFECT ANALYSIS OF INLET TUBE CASTING BY COMPUTER SIMULATION VIPUL VASAVA

Casting Defect Analysis using Design of Experiments (DoE) and Computer Aided Casting Simulation Technique

Multi-Physics Simulation and Casting Defect Prediction Using FLOW +

A Review on Optimization of Gating System for Reducing Defect

Optimization of Casting Process Parameters through Simulations

DESIGN AND ANALYSIS OF GATING SYSTEM FOR PUMP CASING

Modeling and Simulation of Solidification in Alloy Steel Sand Castings

Modeling and Simulation of Solidification in Alloy Steel Sand Castings

for Pump Casing by Sand Casting. M.Tech Scholar, Department of Mechanical Engineering, PDA College of Engineering, Gulbarga, Karnataka (INDIA)

(Full length research article) Modeling and Simulation of Solidification in Alloy Steel Sand Castings

Design Optimization of Gating System by Fluid Flow and Solidification Simulation for Wheel Hub by Sand Casting.

Computer-aided Casting Design and Simulation

Quality improvement in cover support casting using Auto-CAST software

Optimization of Riser size of Aluminium alloy (LM6) castings by using conventional method and computer simulation technique

PART II: Metal Casting Processes and Equipment

Innovative Simulation of Castings A Technology to Improve Quality of Castings as per Global Specifications with Case Studies

Fundamentals of Casting

Defects Analysis Using E Foundry and Flow Simulation for Crank Case Casting

Optimization of Casting Process Parameters through Simulation

FILLING SIMULATION OF TILT CASTING DÁNIEL MOLNÁR 1

DESIGN OPTIMIZATION OF GATING SYSTEM BY FLUID FLOW AND SOLIDIFICATION SIMULATION FOR WHEEL HUB BY SAND CASTING

NCADOMS-2016 Special Issue 1 Page 466

Optimization of Casting Process Parameters through Simulation

Process Design Optimization through Numerical Experimentation for a Brake Disc Casting

CASTING SIMULATION OF INSULATOR FOR QUALITY IMPROVEMENT

Feeding Against Gravity with Spot Feeders in High Silicon Ductile Iron

Feeding Against Gravity with Spot Feeders in High Silicon Ductile Iron

UNIT 45: Riser Design Wizard

Simulation of sand casting to predict porosity for Ductile Iron

CALCULATION OF FEEDER SIZE

Metal Casting. Manufacturing Processes for Engineering Materials, 5th ed. Kalpakjian Schmid 2008, Pearson Education ISBN No.

EXPERIMENTAL ANALYSIS OF CYLINDRICAL RISER DESIGN FOR LM6 ALUMINIUM ALLOY CASTINGS

Usage Of An Integrated CAD/CAE/CAM System In Foundries

A review on yield improvement in gating system

Simulation Studies on Sand Cast LM25 Aluminium Metal Matrix Composites

Effects of gating geometry on casting solidification using computer simulation tools

International Journal of Advance Engineering and Research Development. SOLIDIFICATION SIMULATION OF Al 6061 CASTING IN 2-D GREEN SAND MOULD

Reducing rejection rate of castings using Simulation Model

Metal Casting Dr. D. B. Karunakar Department of Mechanical and Industrial Engineering Indian Institute of Technology, Roorkee

Investigations on Design and Thermal Analysis of Apple Type Wind Hub

Solidification Simulation of Aluminum Alloy Casting A Theoretical and Experimental Approach

Design of Butterfly Valve Components

Optimization of Riser in Casting Using Genetic Algorithm

DEFECT ANALYSIS OF HAND WHEEL CASTING USING COMPUTER AIDED CASTING SIMULATION TECHNIQUE

Casting Design Guidelines for Junctions Considering Solidification

Shrinkage Porosity & Temperature Distribution analysis of air cooled Cylinder liner block of Grey cast iron ASTM class 35

Solution of Assignment 5

Investigation on the Rate of Solidification and Mould Heating in the Casting of Commercially Pure Aluminium in Permanent Moulds of varying Thicknesses

Casting Simulations with STAR-Cast. Julian Gänz, CD-adapco

related Casting simulation 1988 to studies

NUMERICAL SIMULATION AND PROCESS OPTIMIZATION ON CAST STEEL BEARING SLEEVE

CHAPTER 2. LITERATURE REVIEW. This chapter contains a brief review of literature which exists in

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

YIELD IMPROVEMENT CASE STUDY: STACKED SPRING CAPS

Applying DOE for Determining the Relative Importance of Some Gating System Design Parameters

Casting Simulation and Optimisation: Benefits, Bottlenecks, and Best Practices

Module - 2 Advanced Metal Casting Processes Lecture - 1 Metal Casting basics, Gating and Risering design

Geometry Dependency of Filling Related Defects

Casting-Comparisons. Mech 423 #2 1

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

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

EFFECT OF THICKNESS ON MICROSTRUCTURE AND POROSITY OF AL-SI ALLOY IN VORTEX GATING SYSTEM

COMPUTER SIMULATION AND EXPERIMENTAL RESEARCH OF CAST PISTON POROSITY

Preventing shrinkage defects in investment casting of SUS310 stainless steel feather keys

JOHN DEERE FOUNDRY WATERLOO

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

Multi-scale simulation of ductile iron casting

JRC IMPROVING CASTING INTEGRITY THROUGH THE USE OF SIMULATION SOFTWARE AND ADVANCED INSPECTION METHODS

DEFECTS ANALYSIS AND OPTIMIZATION OF PROCESS PARAMETERS USING TAGUCHI DoE TECHNIQUE FOR SAND CASTING

Casting Process Part 2

Numerical simulation of chilled cast iron camshaft in sand casting. process

Risering System Design

7. Design for Castability

Flow Behaviour of a Feeder at Dendrite Coherency Point In Metal Castings

Optimizing the Production of Structural Components

Evolution of Artificial Neural Network (ANN) Model for Predicting Secondary Dendrite Arm Spacing in Aluminium Alloy Casting

MODELING OF ALLOY 718 STRUCTURAL CASTINGS. K. 0. Yu*, J. J. Nicholas** and L. Hosamani***

Study on Effect of Die Temperature on the Quality of the Products in HPDC Process with the help of Flow Simulation.

Defects analysis, minimize metal wastages and yield improvement for grey cast iron casting: A case study

Simulation of High Pressure Die Casting (HPDC) via STAR-Cast

Die casting Design Simulation

NUMERICAL SIMULATION AND OPTIMIZATION OF THE CASTING PROCESS OF A CASTING-STEEL WHEEL

Reyazul Haque KHAN Professor, Mechanical Engineering Department, Federal University of Technology, Minna, Nigeria

OPTIMIZATION OF RISER THROUGH GENETIC ALORITHM

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

Optimum Design of Slot Shape for Preventing the Misrun of an Aluminum Motor Rotor in Die Casting

Improved ingot casting by using numerical simulation

MAKING OF DIE CASTING TOOL

Transcription:

Yield Improvement of Cast Part Using Computer Aided Casting Simulation Mohamad Riyaz S H 1, Prasad U Raikar 2 1 Student, Product Design and Manufacturing, PG Center VTU, Belagavi, Karnataka 2 Asst. Prorf., Product Design and Manufacturing, PG Center VTU, Belagavi, Karnataka ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract Casting Simulation may use by the engineers in foundry to assure quality of cast parts and yield optimization without charging out shop floor trails, it also helps engineers to analyzing and optimizing of feedability of a casting during design phase. Casting simulation helps to visualize mould filling, solidification of casting and to predict the hot spot location where internal defects such as shrinking porosity. An internal defect occurs at the time of solidification, these internal defects can be eliminated by proper design of feed system. Yield is the ability of 1.1 Gating System casting to manufacture acceptable casting in effective manner. Improved yield offers many benefits as material cost, better process control. By using computer casting simulation, an optimum gating and feeding system can be designed to improve yield, quality of casting and also eliminate internal defects. In this paper feed system is designed to eliminate hot spot location from the casting of pulp valve body part that is Guide face. It is difficult to avoid that many different defects occur in casting, such as blow holes, internal porosity and improper filling. Improving the cast quality becomes important role. Casting quality is depending on the proper gating/riser system design. Therefore there is a need for use of a computer-aided casting simulation tool with CAD, and optimization functions to ensure the quality of casting. The bottlenecks and non value added time in casting development can be minimized by adopting computeraided methods, solid modeling and casting simulation technologies. [2] In general the term used for describing the cross sectional area of the gating components is known as Gating Ratio, generally defined as the ratio of sprue area to the runner area to total gate area.[1][3] Gating systems can be classified into two types and they are: 1. Pressurized gating system. 2. Non-Pressurized gating system. Key Words: Yield, hot spot, casting simulation, feed system. 1. INTRODUCTION Casting is a one of process of manufacturing used to make complex shapes of metal materials in mass production and/or individual production. There are two stages in casting, one is filling process and another is solidification of cast, in casting. In casting process, gating system consists of pouring cup, runner, sprue, sprue well and ingate or gates, which is designed to guide liquid metal filling into the mould cavity. Risers are used to compensate shrinkage caused by casting while solidification of cast part. At casting process, design flow system is important for production of quality and efficiency of a product. [1] Non-Pressurized gating system: Where the restriction in the flow of the fluid is near to the spruce is known as Non-Pressurized gating system. Here the choke of this type of the system is near sprue or at the end of the sprue or exactly below the sprue where the solid impurities are less and the metal tends to solidify at faster rate uses this type of gating system. Pressurized gating system: A pressurized gating system is known to as which maintain the back pressure on the gating system by restricting the fluid flow at the gates, this type of gating generally requires the total gate area not to be greater than the area of the sprue. Choke is a very important area in the gating system where it determines the mould filling time for the metals with huge amount of solid impurities generally uses the pressurized gating system. 2015, IRJET.NET- All Rights Reserved Page 858

1.2 Feeding Technology Riser is a reservoir to hold an extra metal which compensate the liquid metal in the mould for the shrinkage solidification. It also helps in good quality casting which are free from the cavities both internal and external shrinkage cavities. There are some five requirements of the riser and they are. [3] It is to be the portion which has to be solidified at last. It should promote the directional solidification and the solidification should end in the riser itself. Correct volume of the molten metal so as to compensate shrinkage. It should completely cover the casting section which is to be fed. It should ensure maximum yield as much as possible. Chvorinov s Formula: The time for solidification of castings given by the liquid and the solid as they cool, and gravity. The possible feeding mechanisms are illustrated in Fig.1 [4] Fig. 1 Schematic representation of the feeding mechanisms in a solidifying casting. [4] 2. CASTING SIMULATION FRAMEWORK Yield improvement of cast can be done by using casting simulation programs. The following Fig.2 represents simulation framework for feeder design and optimization. [2] K= Constant V= Volume of casting in mm A= Surface area of casting in mm 2 Inscribed Circle method: This method was developed by Heuvers. He obtained the riser diameter by identifying the largest circle (hot spot) that can be formed in the section to be fed, and the riser diameter is obtained by multiplying the diameter of the largest circle it normally ranges from1.5 to 3. Modulus Method: The modulus of a casting or a feeder is simply defined as the ratio of the volume of the riser to the surface area through which the heat is taken out. M c = Modulus of the casting From the Chvorinov s rule the freezing time of the casting is proportional to modulus square. And if the modulus of feeder exceeds the 1.2 of the modulus of casting then it is satisfactory in most of the circumstances. Feeding Risers, or appendages, are added to a casting in order to feed the shrinkage in a casting. Solidification takes place simultaneously in both the casting and risers, and liquid flows from the risers to feed the casting. The flow is driven by solidification shrinkage, contraction of Fig. 2 Framework for feeder design and optimization [2] The first step in framework is part solid modeling. To do cast simulation first a CAD model of part being casted has to be prepare, and also feed system that is runner bar, ingate, risers also be prepared in CAD. These CAD models saved into standard.stl format. The second step in framework is the feeder design, which is carried out by finding suitable position or location to connect or match the 2015, IRJET.NET- All Rights Reserved Page 859

feeder, calculating its dimensions, and preparing it in solid model and attaching it to part model. The third step is feedability analysis is carried out by flow simulation and solidification simulation which is followed by indentifying presence of hot spots inside the casting and connection between feed paths. Before simulation it is important to give material property of cast material, mould property to the part. The forth step is in framework, if any defects are occurring, then feeder design (riser design) modified. If any defects are not visualized then the design is good. If quality of cast cannot be improve by feeder design, and then cast part design has to be modified. Finally, casting yield is calculated and compared with other design, and one which gives higher yield is used for implementation. Specific heat 1075.288 J/kg-k Density 1521.71 kg/m 3 The following Fig. 3 shows the solidification simulation of Guide face casting, 3. CASTING SIMULATION Casting simulation is carried out in this work, by use of SOLID-Cast software which is created by, Finite Solution Inc. This program works based on finite difference method (FDM). In finite difference method mesh is rectangular in shape and made by a series of cubeshaped blocks which are called as nodes. SOLID-Cast software has built in flow simulation program that is FLOW-Cast. SOLID-Cast helps to simulate solidification and FLOW-Cast helps in flow simulation of casting. Simulation in this paper is done on Guide face which is a body part of pulp valve, material of guide face is cast iron. 3.1 Solidification Simulation of Guide Face Fig. 3 Solidification simulation of Guide face From solidification simulation it is found that there are two locations where last solidification casting taking place. Fig. 4 shows hot spot location present in the casting, the portion where hot sport accurse at that location casting will solidify last. Due to directional solidification in casting while changing its phase from liquid to solid, this last solidification in casting accurse where volume by area will be more. [5] To do solidification simulation material properties and mould properties as need, table 1 show material properties of guide face and table 2 shows mould properties. Table-1: Material properties Thermal conductivity 36.322 W/m-K Specific heat 460.24 J/kg-k Density 7200 kg/m 3 Initial temperature 1370 o C Solidification temperature Freezing rang Latent heat of fusion Table-2: Mould Properties Thermal conductivity 1124.478 o C 89.256 o C 230115.6 J/kg 0.59 W/m-K Fig. 4 Hot sopt in Guide face This hot spot can be removed by using Riser; From the Chvorinov s rule the freezing time of the casting is proportional to modulus square. Therefore riser has to design to remove hot spot, the riser size should be such that the last solidification take place in it, if defect accurse in riser, it not lead any problem although riser is removed later from casting. [6] 2015, IRJET.NET- All Rights Reserved Page 860

3.2 Solidification Simulation with Riser The modules of riser should be more than the modules of casting or the modules of region where hot spot present. Here Riser is designed by taking modules of riser is 1.5 of casting modules that is M r=1.5m c. The following Fig. 5 shows simulation result of Guide face with Riser. Fig. 6 Hotspot location in Guide face with riser It is seen that after placing riser between two hot spots which are present in guide face without riser, those hot spots are moved in to the riser, and remaining casting part will be sound casting means defect free. 4. Yield calculation Casting yield is defined as ratio of casting mass to actually mass of the metal has entered into the mold cavity. This is expressed by following equation. [6] C y = [W c/(w c+w g)] 100 % W c = weight of casting the material W g = weight of the feed system (spure, runner, riser) Yield of Guide face casting Weight of the casting = 12.2kg Weight of feed system = 5.15kg C y = [12.2/(12.2+5.15)] 100 C y = 70.31% 5. CONCLUSIONS Fig. 5 Solidification simulation of Guide face with Riser From solidification simulation of Guide face with riser it is found that the last solidification location is in riser, the below Fig. 6 show the hot spot location in guide face casting after using riser. Computer aided casting simulation is essential tool for casting defects production and troubleshooting those defects and cast optimization. It helps to assure quality of casting and yield improvement without doing shop floor trails. The proper design of riser and specific location of riser in casting part helps not only to provide material to casting while shrinking on solidification, but also helps to remove hot spot from the cast part. From simulation of guide face with riser it is concluded that the designed riser, and gating system, the chances of getting shrinking defect is in riser. From this design yield of casting will be 70.31%. By carrying out casting simulation, lot of material, time and cost can be saved which are required in shop floor trials. From casting simulation casting products can be develop very fast and time required to development of cast parts will be low. 2015, IRJET.NET- All Rights Reserved Page 861

REFERENCES [1] Richard W. Heine, Carl R. Loper, Philip C. Rosenthal, Principles of Metal Casting, Tata McGraw Hill, 1976. p 1-22, 178-253, 491-506, 557-572. [2] B. Ravi, Durgesh Joshi, Feedability Analysis and Optimisation Driven by Casting Simulation, Indian Foundry Journal, 53(6), pp. 71-78, 2007 [3] A.K. Chakrabarti, Casting Technology and Casting Alloys, Eastern economy edition, PHI Learning Pvt. Ltd. 2011, pp. 1-84. [4] Qingyou Han, Shrinkage Porosity and Gas Porosity, ASM Handbook, Vol. 15: Casting, ASM Handbook Committee, 2008, p 370-374. [5] B.S. Nagendra Parashar, R.K. Mittal Elements of Manufacturing Processes, eastern economy edition, PHI, 2011, pp. 203-229. [6] Rabindra Behera, Kayal.S, Sutradhar.G, Solidification behavior and detection of Hotspots in Aluminium Alloy castings: Computer Aided Analysis and experimental validation, International Journal Of Applied Engineering Research, Volume 1, No 4, ISSN- 09764259, 2011, pp. 715-726. [7] Mayur Sutaria, B. Ravi, Computation of casting solidification feed-paths using gradient vector method with various boundary conditions, The International Journal of Advanced Manufacturing Technology October 2014, Volume 75, Issue 1-4, pp 209-223. 2015, IRJET.NET- All Rights Reserved Page 862