DANIELI TOTAL ASSET MANAGEMENT SYSTEM*

Similar documents
Vibration Analysis Machinery Inspection & Evaluation Level II

The power to predict!

SUPERVISORY SYSTEM FOR THE TURBINE GENERATOR SET OF ANGRA 1 NPP

DANIELI INTELLIGENT MILL ADDING VALUE TO METALS

PROCESSING A SELECTION OF THE MOST REMARKABLE SOLUTIONS OF PRIMETALS TECHNOLOGIES FOR THE DIGITALIZATION OF

SENTRY was created to solve this Challenge.

WearSens WS3000 Oil Condition Monitoring System Wind Turbine Application

Variable Speed Drives: Reducing energy costs in petrochemical manufacturing

Mechatronics Courses by School Period

Vibration Analysis. Category 1

VAAL UNIVERSITY OF TECHNOLOGY FACULTY OF ENGINEERING DEPARTMENT OF MECHANICAL ENGINEERING EXPERIENTIAL LEARNING FUNDAMENTAL LEARNING

Industrial Gearbox Maintenance

Turbine monitoring: measurements of vibrations on critical components Tower tilt inclination: angle calculation for proper tower positioning

FATIGUE ASSESSMENT OF UNIVERSAL CARDAN JOINT BASED ON LABORATORY SPECIMEN TESTS*

Air Compressor Series.

VIBRATION MONITORING OF TURBOGROUPS An essential tool in your predictive maintenance strategy

Field Analysis and Balancing Tools Needs and Solutions

Make the most out of your maintenance resources. with SKF WindCon online condition monitoring system

Condition Monitoring of Wind Turbine Gearbox by Vibration Analysis

Pumping System Vibration

VEGETABLE MILKS. Via Don Battistoni, Jesi (AN) Italy Phone Fax

NEW ROLLING STANDS FOR LONG PRODUCTS ROLLING MILLS*

Cost savings from the CMS Vibration Monitoring and Predictive Maintenance Presented by: Tim Parmer Manufacturing in America 02/22-23/2017

Predictive Maintenance 4.0

Francis Concemino Associate Engineer (Reliability and Maintenance) Inland Empire Utilities Agency

8400 Hour Continuous Operation Guarantee!

Improving Machinery Productivity with Oil Debris Sensing

Process Line Control Solutions. Rockwell Automation Drive Systems

Powering a better future

Machine Monitoring and Indication Solutions

Day 1 - Machinery Health and Reliability Excellence - Introduction

Concept Definition. Integration of functions. Smart Structures. sensor, actuator and control mechanisms

Metal Siding Linear Panels Production Line (for 3 typical sizes) for metal with polymer coating

Industrial Solutions

CONDITION BASED MAINTENANCE

FINITE ELEMENT ANALYSIS OF A SHAFT SUBJECTED TO A LOAD

GB/T / ISO :2009

pipeline integrity and energy harvesting

General HUMS Overview. Jason Alamond

Application Note. Case study Machine condition monitoring strategy at the Zarnowiec pumped storage power station

Networked Protection of Productivity: HYDAC CM-Expert.

Development and Application of Intelligent Model Knowledge Base for the Plate Hot Leveler

Increase drive availability, cut lifecycle costs. Drive Train Condition Monitoring from Siemens. Industry Services.

Course Description EMME 1

MRM_Remote Maintenance A whole new maintenance philosophy

Cost of downtime Loss of production Manufacturing scrappage. Why motors fail The most common causes of motor failure are:

SKF knowledge on board. Delivering on the promise of condition based maintenance

Apply Condition Monitoring to Move Toward Zero Unplanned Downtime. Electric Rope Shovel Monitoring

Numerical control beam saws

Waste FineShredders from Metso Waste Recycling. M&J FineShred series

E / HYDAC Predictive maintenance

DAY 1 Details of Maintenance Planning and Scheduling Training Power Point sold at BIN95.com (97 slides)

Our technology makes an impact. BIG-MIX Model 35 Model 48 Model 60 Model 80 Model 110 Model 120. PUMPE BIG-Mix 1

SEAMLESS INTEGRATION THE MARKET DEMANDS IT AFTERMARKET SUPPORT YEARS OF EXPERIENCE ANSWERING THE MARKET S DEMANDS

CNC machining centres

MARKET PRODUCT APPLICATION CUSTOMISATION LOGISTICS INFRASTRUCTURE. All the PUMP Know-How you need.

GE APM Reliability Management for Wind

Vibration Monitoring and Condition Analysis of a 210MW Steam Turbine

VIBRATION ANALYSIS OF VERTICAL PUMPS

Medium Voltage Service Maintenance and refurbishment

Choosing the Correct Roller Housed Unit Step by Step

Use of automation to improve productivity and quality in long product rolling mills

VRM ONLINE SUPPORT SOLUTION FAR BEYOND CLASSICAL CONDITION MONITORING

A RATIONAL APPROACH TO EVALUATE A STEAM TURBINE ROTOR GRABBING AND LOCKING EVENT

Vibration Analysis of Propeller Shaft Using FEM.

Together We Move The World. FAG SmartCheck. presented by Name

Schaeffler UK Training Courses

NONMANDATORY APPENDIX S ARTICLE S-1000 PUMP SHAFT DESIGN METHODS

3 Steps to Ensuring Mechanical Asset Integrity A Modern Approach to Rotating Equipment Condition Monitoring

Frequency Sensitive Control Mode and Fatigue Assessment for Kaplan and Bulb Turbine Runners

Investigation of Various Condition Monitoring Techniques Based on a Damaged Wind Turbine Gearbox

tradition. knowledge. responsibility. ADVANCED CONDITION MONITORING SYSTEMS FOR ROTATING MACHINES

RIA MR HIGH-PERFORMANCE MULTI-PURPOSE 5-AXIS PROCESSING CENTRE

HT210 HAY TEDDER PARTS MANUAL SECTION 16

Ten glorious years of service to industry & customers ENGINEERING SERVICE OVER VIEW & IMPORTANT PROJECT- CASE STUDY

Bucketwheel stacker reclaimers

TWIN TRACK PALLET SYSTEM FOR SMART PRODUCTION TECHNICAL OVERVIEW

STEEL WORKS Division INDUSTRIAL POWER TRANSMISSION

Plough new ground. with SKF Agri Solutions for the agriculture industry. The Power of Knowledge Engineering

2016 Started EPC Activities

Solving the Maintenance Challenge in Wind Power

Flygt hydro turbines SMART AND COMPACT HYDROPOWER. 50 Hz

October 8, 2010 SKF Group Slide 0

Mechanical Engineering Dept. CEME NUST 1

V MW TM. Selecting the Optimum Drive Train. Anders Bach Andersen Senior Product Manager - V MW TM

The increasing importance of a planned approach to plant asset management

Printed in U.S.A. imken Company 2012 The T. imken Company TIMKEn RaIl is a registered trademark of The T Timken INNOVATION ON TRACK

Healthcare Repair & Maintenance Contracts Gas Turbine Base Case

Mechatronics Installer

EAME MIX NC PROCESSING CENTRE

Metal siding production line ShipDeck

Cardiff, CF24 3AA, Wales, UK. Keywords: Acoustic emission, gear teeth, structural health monitoring

Impact of Gearbox Oil Contamination on the Performance of the Wind Turbine Drivetrain

International Journal of Scientific & Engineering Research, Volume 5, Issue 11, November-2014 ISSN

ALERT. Vibration Diagnostic Software. Proven Technology for Machinery Condition Assessment

Centrifugal Air Compressors. MSG Centac C-Series 350-1,300 kw (500-1,750 hp)

Fundamentals p. 1 Mechanical Engineering Design in Broad Perspective p. 3 An Overview of the Subject p. 3 Safety Considerations p.

Smart Tools for Smarter Maintenance

MAINTENANCE, SERVICE AND REPAIR

Utilizing ICT in Steel Industry to Decentralize Control Systems

Transcription:

DANIELI TOTAL ASSET MANAGEMENT SYSTEM* Andrea Donadon 1 Riccardo Chiozza 2 Guiseppe Santarossa 3 Pietro Palma 4 Abstract This article introduces the Danieli Total Asset Management System, which involves 360 degrees service methods and equipment. Danieli Condition Monitoring System and Danieli Torque Monitoring System are fundamental to evaluate the conditions of the working components in heavy duty transmissions. The first one monitors the vibrations and the lubrication fluid conditions with the purpose to identify the presence of malfunctions, by detecting any variation of the signals from the standard values. The second one monitors the transmitted torque for each spindle and gearbox, with the aim of detecting any anomaly in torque distribution and magnitude, and evaluating the residual life of the mechanical parts, on the base of a dedicated fatigue damage algorithm. All these features are useful in avoiding serious damages to machines, facilities and people, but allow also planning the maintenance and overhaul activities with efficiency, in order to achieve the best plant availability and reliability. The data analysis is made by the IntelliCMS software, which interfaces with plant and Danieli operators and includes the possibility to cooperate by remote connections, simplifying service activities and support. All these features allow providing new full service programs, where the client is totally supported in maintenance, overhauls and substitutions. This is the best way to ensure the most efficient, high quality and reliable after sales assistance. Keywords: Torque monitoring; Condition monitoring; Vibration analysis; Fluid condition; Failure prevention; Maintenance scheduling; Life prediction; Full service. 1 Vice President Drivetrain Technology, Danieli & C. Officine Meccaniche SpA; Via Nazionale, Buttrio (UD), Italy. 2 CMS Manager, Danieli & C. Officine Meccaniche SpA; Via Nazionale, Buttrio (UD), Italy. 3 Junior Engineer - Mechanics, Danieli & C. Officine Meccaniche SpA; Via Nazionale, Buttrio (UD), Italy. 4 Senior Engineer - Mechanics, Danieli & C. Officine Meccaniche SpA; Via Nazionale, Buttrio (UD), Italy. 369

1 INTRODUCTION The need to get the best performance and profitability of a steel plant requires the implementation of the most efficient service methods and equipment. Safety, productivity and maintenance costs depend all on the reliability and the capability of the installed machines and mechanical components, which could be ensured by a continuous and accurate monitoring of their conditions. The Danieli Total Asset Management System has the purpose to guarantee a full view of the critical parameters, which have a key role on the duration of each machine and component in power transmissions, and to support strategic decisions for the production management. As a matter of fact, collecting and storing parameters data from machines during the operating conditions such as torque, vibrations, temperature and lubricant state, aids in making decisions about their repair needs, in order to organize an efficient maintenance plan and to achieve high plant availability and reliability. The aim of this system is to switch from a breakdown maintenance strategy to a predictive zero-breakdown strategy with the purpose to reach the most economically profitable equilibrium point between maintenance costs and plant availability. 2 MATERIAL AND METHODS 2.1 The Condition Monitoring System (CMS) The Condition Monitoring System is suitable for every rolling mill drivetrain, on which it monitors different parameters under working conditions, such as vibration frequency and amplitude, lubricant cleanliness and temperature. Any significant change of relevant signal values might indicate a defect, so the possibility to monitor these parameters allows prompt actions in case of malfunctions, in order to prevent more serious and dangerous breakdowns. Condition Monitoring System is a complete package which includes all the hardware and software along with a complete assistance ensured by certified Danieli personnel. Its hardware architecture is comparable with all the standard systems for signal monitoring. The signals generated by the transducers (i.e. accelerometers, contamination sensors, water sensors), are amplified and converted by a remote unit (IntelliCMS RIO) before being collected and elaborated by the data analysis unit, which interfaces also with the plant automation to collect operating data and to manage the alarms. A central server (IntelliCMS server) receives and processes the data with the software (IntelliCMS software) to analyze the signals behavior. It makes decisions on the alarm management, creates different types of reports (on post analysis, alarms and trends), monitors and manages the hardware, warns the operators via e-mail to reach them wherever they are. In addition to the equipment, the system involves new type of service with periodic controls, remote assistance and maintenance support. The periodic analysis performed by skilled and certified specialists, together with the possibility to benefit a prompt remote assistance, considerably enhance the after sales service ensuring higher efficiency and accuracy. The return of investment of the CMS is related to the predictive maintenance concept that allows organizing the activities during the scheduled period, avoiding all the costs mainly due to unscheduled downtimes. 370

Figure 1 - The Condition Monitoring System hardware architecture allows an easy data processing and a direct collaboration between customers and service provider, characterized by an optimal integration with the plant automation. 371

2.2 Vibration Monitoring and Analysis Vibration monitoring can give an immediate feedback on the machine status, because it is the best method to identify unexpected failures, wears and configuration errors. The presence of unbalances and misalignments, as well as mechanical looseness, bearing failures, gear defects and electrical motor problems, has an influence on the system vibrations. Each one of these non desired situations produces different vibratory effects in terms of frequency, peaks amplitude and overall values. In fact, two main parameters are useful to describe a signal and its time variation due to structural and mechanical problems, that are the signal RMS, which gives a numerical interpretation of the overall signal value, and the FFT, which gives a complete view on the influence of every single frequency present in the signal. Figure 2 - Each type of failure produces different effects on the vibration signal, depending on its nature and the rotating speed of the component where is located. All rolling elements turn in accordance with their own speed and generate a specific vibration at a typical frequency which could be calculated according to geometry parameters like gear ratio, number of teeth, dimensions, number of vanes or blades. In presence of defects, the resultant pulsating forces acting on the system are characterized by these frequencies, measured in Hertz, that are called defect or forcing frequencies. The status of the rotating components produces specific conditions in terms of amplitude level of each single forcing frequency. The analysis of these forcing frequencies, with the related amplitude, defines the kind of the defect and its seriousness. Therefore, the aim of the vibration analysis is to detect the working speed and equipment vibrations in order to identify the conditions of each single component. In doing this, fundamental is the interfacing between CMS and plant automation from which are obtained the operating data to be compared with the frequencies monitored. The system is very flexible and can be designed for long, flat and tube rolling mills, and for several type of machines like gearboxes for rolling mill stands, cantilever type blocks ESS, BGV blocks, bevel gearboxes, laying heads, gearbox distributors for Kocks blocks, disk saws, motors, pumps and fans. The alterations of the vibration signal are mainly caused by malfunctions of bearings, gears and shafts. The IntelliCMS software processes all the vibration signals deriving from the piezoelectric transducers, with a real time evaluation of their characteristic parameters to identify non correct behaviors and, in case, start warning procedures. 372

Figure 3 - Software intervention logic. Before the maintenance need, the software detects an increment of the vibration trend and warns about the close necessity of maintenance overhauling, avoiding serious damages to the machines and supporting a smart planning of the activities. 2.3 Fluid Condition Monitoring (FCM) Another useful control instrument that is used in synergy with the vibration analysis is the Fluid Condition Monitoring. All the operating fluids, both from hydraulic and lubrication systems, are the primary vectors for debris and polluting elements such as dust particles and water. These undesired elements could worsen the lubrication properties of the lubricant and increase wear between contact parts in relative motion, as well as obstruct the ducts. Their presence could not only be the cause of an excessive wear and a beginning failure, but their consequence. Debris that are generated by malfunctioning of some operating parts are characterized by a higher hardness as a consequence of the plastic deformation during etching. So, once they are picked up and carried by the fluid in other areas of the machine, they can generate a more aggressive wear in all the relative motion contacts. In any case, whether or not they are produced from the components of the machines, it is fundamental to detect any presence of them in the fluids. Figure 4 - Examples of metallic debris released from rotating elements as gears or bearings. The 40% of bearing failures are caused by bad lubrication. 373

In addition to polluting elements, another important parameter to check the working condition of the machines is the fluid temperature. Most of the times the operating fluid have also the function of cooling the mechanical parts, and every increment of its temperature could be a feedback for understanding the presence of malfunctions, such as not well lubricated contacts, failures and wears. High temperature, debris and polluting elements weaken the lubricant action of the fluid, causing more aggressive wears, choking and breakdowns. So the monitoring of lubricant status is essential to maintain the rolling elements in optimal condition. The FCM monitors all these parameters, and is a system fully integrated with the CMS hardware and software. In presence of both vibratory anomalies on structures and undesired pollution in lubricant, the nature of these allows to confirm or detect the right defect element and assign the possible cause. Furthermore, this monitoring gives a feedback for change oil service to apply predictive maintenance. The Contamination Sensor Module includes a contamination sensor, a water saturation and temperature sensor. As for the vibration analysis, the software evaluates all the parameters in real time, manages the warnings, archives historical trends and identified alarms, generates different types of reports. 2.4 Torque Monitoring System (TMS) The Torque Monitoring is the most suitable instrument to evaluate the operating conditions for torque transmission parts. The aim of the system is the real time monitoring of the torque signal detected by means of strain gauges, which are placed on rotating components like spindle shafts and couplings. It could be designed both for spindles and gearboxes, with the purpose to know the workload to which every component is subjected. If the system is applied on rolling mill spindles related to a single drive unit, which implies the presence of a pinion stand combined or not with the gearbox, it is possible to evaluate the real torque distribution between the upper and lower spindle, and thus between the two pinions. Measuring the torque on the exit side of the gearbox is also useful to see all the torque fluctuation due to rolling process. These peaks of torque could be very dangerous for the transmission parts closer to the rolling mill. The system can be fully integrated with the CMS architecture, and interfaces with the operators thanks to the same IntelliCMS software used for vibration and lubricant analysis. Having a continuous supervision on the behavior of the torque transmission has a great importance both for customers and designers. In fact, knowing the torque signal is useful to find out functioning anomalies, but it supplies also a feedback on real operating conditions in order to design the components and the machines to be suitable for the specific application. 2.5 Life Prediction Module ISSN 1983-4764 Life Prediction Module is an integration module for the Torque Monitoring System which aims to control the amount of load that the parts undergo since their installation and to evaluate their remaining operating life. This leads to the possibility to prevent failures and to plan with sufficient advance the maintenance activities and the parts replacements. The system is useful to understand the conditions of the 374

transmissions most critical components like bearings, gears, spindles, gear couplings. Monitoring the filtered torque signal allows to recognize, measure and classify the different load cycles acting on the components, on the basis of a rainflow method. The stresses produced by the torque on each single component are evaluated thanks to calculation standards, notch factors database and, for complex geometries, Finite Element Analysis. Every torque cycle is related to a component s stress level and endurance detected from the relative fatigue-life curve. So, with all these parameters available, it is possible to evaluate the cumulated fatigue life for each component. The torque value range is split in several classes, each one with its relative stress value deriving from FEM analysis. So, a torque cycle will be approximate with the stress value of the class to which it belongs, and the cumulated fatigue is computable from the number of cycles of each class. Figure 5 - Torque Monitoring System configurations for a cardan spindle and for a couple of gear spindles mounted on pinion stand combined with gearbox. The signal is collected by strain gauges placed on the shafts and after its amplification is transmitted to a static receiver connected to the same local unit used for CMS. 375

Figure 6 - Continuos integration of the total number of cycles, for every torque class, that the spindles undergo. Figure 7 - Finite Element Analysis for a journal cross of a cardan joint and relative fatigue-life curve. The equivalent life consumption is evaluated combining the different cycles. 376

Figure 8 - Typical rainflow method for the identification of the different load cycles. With respect to the bearings, their life is evaluated with advanced formulation that considers the application times of each force, which is directly related to the torque. In this case the method doesn t count the number of cycles, but only the duration of each applied torque split in classes. A continuous integration of the parameters ensures a real time consciousness about the components state. The most important benefit of TMS is to optimize the maintenance procedures preventing failures before they start. This method allows organizing in the best way and with sufficient advance all the plant downtimes needed to replace the parts. Therefore, unlike the CMS which acts only when a malfunction already started, the TMS anticipates that moment and gives an earlier estimation on the maintenance need. 2.6 A New Concept of After Sales Assistance All the features related to CMS and TMS open the possibility to start a new business model. High precision monitoring methods, together with the experience and skills of the Danieli staff, can ensure a very efficient and reliable service. Thus, full service or full leasing contracts with the customers are the innovative way to serve them at 360 degrees as a single point of responsibility, thanks to the direct supervision and analysis of the main parameters by the Danieli specialists. This type of contracts guarantees the customers for a total assistance in maintenance, overhauls and replacement of vital parts, as well as for a professional support in the assessment of the main parameters by certified personnel. Is the best method to prevent downtimes, avoid damaging larger parts of the plant and, last but not least, increase the safety standards for the people who work in proximity to the machines. On the other side, the supplier has the possibility to directly evaluate the working parameters of the installed machines also from the headquarter, thanks to the availability of remote assistance, and collect useful data to optimize the component design and always offer the best quality solutions. 377

3 CONCLUSION Monitoring the operating conditions of the plant machines is a key point to apply the best maintenance policy and avoid expensive downtimes and damages, which could be dangerous also for the operators. Danieli Total Asset Management System, thanks to its new full service package, will do the difference to obtain the best performance with competitive costs, enhancing the plant availability and reliability. 378