JOHN DEERE FOUNDRY WATERLOO

Similar documents
YIELD IMPROVEMENT CASE STUDY: STACKED SPRING CAPS

Fundamentals of Casting

7. Design for Castability

Numerical Simulation of Reverse Engineered Automotive Casting

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

Simulation evolves to autonomous optimization

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

DESIGN AND ANALYSIS OF RISER FOR SAND CASTING

NUMERICAL SIMULATION AND PROCESS OPTIMIZATION ON CAST STEEL BEARING SLEEVE

Solidification Analysis and Optimization Using Pro-Cast

Optimizing the Production of Structural Components

Optimum Design and Analysis of Riser for Sand Casting

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

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

CALCULATION OF FEEDER SIZE

MAGMAsoft Helps Assure Quality in a Progressive Australian Iron Foundry

Computer-aided Casting Design and Simulation

Thermophysical Properties for ASK Chemical and Exochem Riser Sleeves for Steel Castings

Quality improvement in cover support casting using Auto-CAST software

Optimization of Casting Process Parameters through Simulations

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

Feeding Aids. SQ Group

Die casting Design Simulation

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

DESIGN AND ANALYSIS OF GATING SYSTEM FOR PUMP CASING

PREDICTION OF HOT TEAR DEFECTS IN STEEL CASTINGS USING A DAMAGE BASED MODEL

Autonomous Engineering Applied to Investment Casting Process. ICI Conference October 15-18, 2017

HOT TOPICS Issue 2, 2003

Yield Improvement of Cast Part Using Computer Aided Casting Simulation

Predicting the Casting Defects through Simulation

SUCCESSFUL BUYER / SUPPLIER PARTNERSHIP TO ACHIEVE LONG MOLD LIFE

The Next Level of Casting, Coremaking Process Simulation

Modeling and Simulation of Solidification in Alloy Steel Sand Castings

Principle No. 3 Design for Optimum Economy Factor #2 Machining cost Factor #1 Strength required Factor #3 Cooling rate

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.

Quantification of Feeding Effects of Spot Feeding Ductile Iron castings. made in Vertically Parted Molds

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

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

Solidification of Metals in Molds

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

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

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

Multi-Physics Simulation and Casting Defect Prediction Using FLOW +

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

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

Casting-Comparisons. Mech 423 #2 1

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

Quality Prediction of Cast Ingots

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

Feeding Against Gravity with Spot Feeders in High Silicon Ductile Iron

Process Design Optimization through Numerical Experimentation for a Brake Disc Casting

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

R.E. Showman, R.C. Aufderheide, N.P. Yeomans

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

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

PART II: Metal Casting Processes and Equipment

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

Feeding Against Gravity with Spot Feeders in High Silicon Ductile Iron

Geometry Dependency of Filling Related Defects

The TOCA Ductile Iron Foundry in Dingzou

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

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

Design Optimization of Feeding System and Solidification Simulation for Cast Iron

Universal Ductile Iron Tensile Bar Part II Design Proposal. Prepared By: Joyworks, LLC. Jeremy Lipshaw Shawn Van Dyke

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

FEEDEX. + + Maximum yield

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

A Review on Optimization of Gating System for Reducing Defect

Efficiency in Steel Melting: Ladle Development

Rapidest Prototyping: Automotive Prototype Castings with 3D Printing. Sonhar Balagopalan Key Accounts Asia Pacific

Reducing Leaks in Cast Pump and Valve Bodies using Solidification Simulation

FILLING SIMULATION OF TILT CASTING DÁNIEL MOLNÁR 1

Reduction of Oxide Inclusions in Aluminum Cylinder Heads through Virtual Design of Experiments

Casting Process Part 2

Optimization of Casting Process Parameters through Simulation

STEEL FOUNDERS' SOCIETY OF AMERICA TECHNICAL SERVICE REPORT #124 ANALYSIS OF DEFECTS OF THE BORED SURFACE OF SIX 1025 CARBON STEEL CASTINGS

DEFECT ANALYSIS OF INLET TUBE CASTING BY COMPUTER SIMULATION VIPUL VASAVA

Thermophysical Properties and Performance of Riser Sleeves for Steel Castings. Thomas J. Williams, Richard A. Hardin & Christoph Beckermann

Simulating Macro-Porosity in Aluminum Lost Foam Castings

Reducing rejection rate of castings using Simulation Model

Design for Manufacturability Forward or Reverse?

NCADOMS-2016 Special Issue 1 Page 466

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

Design of Butterfly Valve Components

REAL-TIME RADIOGRAPHY AND MODELING OF POROSITY FORMATION IN AN A356 ALUMINUM ALLOY WEDGE CASTING

Selected Principles of Feeding Systems Design: Simulation vs Industrial Experience

Research and optimization of the technological process of manufacturing a GTE blades using computer-aided design

The Current State of Casting Yield: Results from the 1997 Steel Founders Society of America Casting Yield Survey

COMPUTER SIMULATION AND EXPERIMENTAL RESEARCH OF CAST PISTON POROSITY

Die Design and Development for Ladder Frame

Improved ingot casting by using numerical simulation

CASTING SIMULATION OF INSULATOR FOR QUALITY IMPROVEMENT

New theory on how casting filters work

Risering System Design

Optimization of Casting Process Parameters through Simulation

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

Computer simulation applied to jewellery casting: challenges, results and future possibilities

This procedure applies to the operations of two 5000 lb. capacity furnaces with one 1250 kw variable frequency power unit to melt steel.

Investigation of Solidification Affecting Parameters of Sand Casting using ANOVA

Transcription:

JOHN DEERE FOUNDRY WATERLOO Simulation: John Deere s Communication & Profitability Tool

John Deere s Casting Center of Excellence Outside Casting Suppliers Outside Designers Casting Center of Excellence John Deere Designers John Deere Foundry Waterloo 2

John Deere s Casting Center of Excellence Communicate between designers and foundry personnel inside John Deere. Communicate between designers and foundry personnel of John Deere and outside suppliers. Achieve Lowest Costs of castings purchased/made by John Deere. Achieve Highest Quality of castings purchased/made by John Deere. Assure Delivery of castings purchased/made by John Deere. Implement Improvement Proposals for castings purchased/made by John Deere. 3

Cost Avoidance vs. Cost Improvement Cost avoidance is escaping the dollars associated with a project before the geometry hits the lockedin phase. Cost improvement is reducing costs by revisiting a project once tooling has been built and castings are being produced. Cost avoidance is the preferred method! Cost improvement involves the absorption of costs related to production of castings such as scrap, x- ray, additional castings made to replace scrap, machining costs, etc. 4

Role of Casting Process Simulation Enable Communication as Designers can see and understand the castability of a design in cooperation with foundry personnel. Achieve Lowest Costs by moving the trial and error process into the virtual world and determine the cost of different design and process options. Achieve Highest Quality by unlocking the entire casting process and visualize it. Assure Delivery by minimizing real world trial and error (and surprises) making castings right the first time. Enable Implementation of Improvement Proposals as new cutting edge designs and processes can be tried out in a low cost environment. 5

The N313462/N313496 Continuous Improvement Project

Natural Simulation A natural simulation is running casting geometry in a correct size sand mold without risers or gating. This allows the foundry personnel to gather information such as feed modulus, hotspots, and the solidification pattern. 7

Solidification Simulation A solidification simulation is running the casting geometry with feeders. This allows the operator to gather information on porosity tendency, feeding, and solidification pattern. The next step is to develop the complete gating system and run a full filling and solidification simulation. 8

A full simulation will allow the MAGMASOFT user to review the filling for temperature, velocities, and possible mold erosion. It will determine the solidification pattern with the full gating system. The temperature results will help in adjusting the gating system to prevent cold iron defects. The velocity results will allow the gating system to be modified to reduce/eliminate any slag defects due to excess turbulence. The mold erosion results will allow for reduction of sand defects due to sand being carried into the mold cavities. Full Simulation 9

Current Gating 10

Costs Related to the Knee Castings for Des Moines Teton Program

Costs Incurred Jan. 1,2010 - Aug. 31, 2010 Shrink scrap N313462 $28,736.00 Shrink scrap N313496 $43,530.00 100% X-ray costs for both $4,259.00 Machining charge-backs $3,989.00 TOTAL COSTS FOR SHRINK $80,514.00 Currently costs expected for the year exceed $120,000.00! Remember, this does not reflect the loss of production, the costs associated with pouring replacement castings, the additional cleaning, and the additional handling charges. 12

Example of Scrap from X-Ray 5 out of 18 scrap = 28% The range of shrink level from casting to casting is the problem with having consistent wall thickness 13

Root Cause Analysis What is the problem? The Teton Program knees continue to produce approximately $10,000 per month in shrink scrap, x-ray, and machining charge-back costs. Why did it happen? The length of the casting made solidification and porosity extremely unpredictable. What specifically should be done to correct it? Using lessons learned, it was determined that if a casting wall is tapered from thin to thick that the solidification pattern is predictable and risers may be placed that will feed the casting as expected. 14

Revised Geometry and Schedule to Production

Revised Geometry Consistent Wall Thickness Current Geometry Tapered Walls The taper is very subtle and hard to see here but the solidification pattern shows how effective it is Revised Geometry 16

Schedule for Permanent Design Change Scrap data collected and reviewed with root cause analysis Decision made to follow up with Design Engineers on a possible continuous improvement project Casting models created for MAGMASOFT simulations Simulation work completed and presented to Design Engineers and Continuous Improvement Engineers Request for quotes sent out for prototype and production tooling Tooling costs of $22,000 for prototype and production tooling determined to be recovered in approximately 2.2 months CI project approved for analysis work to be performed Models released to Design Engineers for finite element (FE) analysis FE analysis reviewed and approved Prototype core boxes produced and prototype castings poured Prototype castings sent for bench and field testing Prototype castings approved for production Production core box sent out for revisions Castings released into production Timeline of approximately 6 months 17

Outcome of the N313462/N313496 Continuous Improvement Project

Outcome of CI Project Reduction of internal scrap, external scrap, x-ray, and machining charge-back costs for approximately $120,000 annual savings Increased mold utilization through reduction in unnecessary molds ran to replace scrap Savings of $3.74 per mold and increased mold yield through the removal of (2) V-83 exothermic sleeves Design Engineers considering cost avoidance instead of cost improvement in the future The Design Engineers modeling in wall tapers on new program castings such as the Aspen project knees early in the concept phase due to lessons learned Mutual respect for our MAGMASOFT simulation tool and its power 19

New Aspen Project Knees All of the new knees are tapered internally and the simulations look excellent. 20

The R282335/R282336 Continuous Improvement Project

R282335/R282336 Axle Extensions Original Geometry Casting Weight = 459 lbs EAU = 1200 each part number 22

Original Cope and Drag Pattern Cope 23 Drag

Original Gating Geometry Mold Weight = 1675 lbs 24

Filling Process 25

Tracer Particles 26

Solidification Process 27

Hotspots Issues seen included hotspots remaining in the castings 28

Thermal Modulus The feed modulus of the feeders is 20% greater than the casting and is still unable to adequately supply the castings with material 29

Porosity Porosity tendency in the flange is up to 5%. In a casting this size this may produce level 3-4 shrink with suck-down on the flange surface. 30

Porosity Opposite from the large flange side shows up to 5% porosity tendency and by the brake groove up to 10% porosity tendency. If the porosity by the brake groove migrates, it will open up in machining and result in a scrap casting. 31

Porosity Feeding results were used to correlate the porosity results. 32

Summary of Issues and Next Steps Low Mold Yield of 58% - Target is 65! 10.3% Scrap for sand, slag, porosity, and suck down at the flange transition costing $1,527.53/week or $79,431.43 annually! Geometry Change deemed necessary after reviewing MAGMASOFT results. New Geometry Developed by Foundry Engineering using MAGMASOFT results. Approval Given after FE analysis. 33

New Geometry Changes were made that removed 26.4 lbs per casting or 6% of the total weight. Current cast weight = 432.6 lbs 34

New Gating Geometry Mold Weight = 1349 lbs A savings of 326 lbs per mold 35

Filling Process 36

Tracer Particles 37

Solidification Process 38

Hotspots Hot spots are now contained entirely in the feeders. 39

Thermal Modulus The feed modulus of the feeders is <20% but the reduction of weight in the flange and repositioning of the feeders allows for complete feeding of the castings with no porosity evident. 40

Porosity No porosity evident in the castings. 41

Summary Sand/Slag Defects Greatly Reduced through bottom filling vs. top filling. Weight Reduced by modifying the thick continuous flange to individual bolt bosses. Stress Load Reduced by spreading it out over a larger area with single bosses. Porosity and Suck down Reduced/Eliminated by reducing Modulus (thinner flange) and increased surface area (better heat extraction). Two-Fold Use of Simulation: Develop New Geometry. Cost Justification for management to make changes 42

Savings 26.4lbs Weight Reduction per Casting (5.8%) - $6,331.00/year savings in material costs Scrap Reduced from 10.3% to 1.4% - $66,936.48/year savings Mold Yield Increased from 58% to 64% - $66,000.00/year savings Weight Savings of 326lbs/mold @ 1,200 molds/year 200 tons more capacity on a line that ran at 100%! 43

Savings and Cost Avoidance Casting ran for one year with high scrap and low yield! New Design Total 1 st Year Savings:$139,867.48 Pattern Mod. + Engineering: - $120,000.00 Cost Net Savings 1 st Year: $ 19,867.48 Potential Cost Avoidance if Simulation and New Design would have been used right away: Year 0 : $139,867.48 Year 1 : $139,867.48 Avoided Pattern Mod. + Eng.: $120,000.00 Total: $399,734.96 Cost Avoidance is better than Cost Savings or Cost Improvement! 44

Casting Process Simulation is Integral Tool of Cost Avoidance Enables Communication as Designers can see and understand the castability of a design in cooperation with foundry personnel. Achieves Lowest Costs by moving the trial and error process into the virtual world and determine the cost of different design and process options. Achieves Highest Quality by unlocking the entire casting process and visualize it. Assures Delivery by minimizing real world trial and error (and surprises) making castings right the first time. Enables Implementation of Improvement Proposals as new cutting edge designs and processes can be tried out in a low cost environment. 45

Questions?