Center for Die Casting Computational Tools for Short Run Insert Production and Improved Yield Ohio State University/NADCA R. Allen Miller AMC Castings for Improved Readiness 1 Status Center for Die Casting AMC Castings for Improved Readiness (CIR) project Officially started June 2006 2 Project Objective Center for Die Casting The problem DLA needs cast parts rapidly and in low volumes Die casting is a high volume process with long tooling lead times The objective Optimize the insert and die to meet quality specifications while using modular components to shorten lead times and reduce break-even point Optimize shot yield by managing runner system design The technology will Match modular die components with parts and inserts reducing the number of die components that must be fabricated Optimize runner design so modular tooling does not impose a quality or yield penalty Aid in configuring die to improve/optimize shot yield Ejector die built with a unit die base 3 Needs and Benefits Center for Die Casting DoD / Supply Centers Die castings feasible for short-run production (100 – 200 +) Increase size of the supplier base Shorter design / production lead times for die castings Lower cost castings due to Lower tooling cost Higher yield and lower melting costs 4 Needs and Benefits Center for Die Casting Metalcasting Industry Break even at lower total production quantities for die castings Lower tooling cost with reusable modular components Minimization process degradation typical with modular components Less on-machine process debugging associated with modular tooling Significantly reduced tooling lead time when combined with rapid tooling Higher shot yields Lower unit material and melting costs 5 Tasks 1. Center for Die Casting Yield Improvement (current work) Visualization approach – yield feedback provided for user Optimization – suggestions for yield improvement 2. Short-run Holder Block Selection (scheduled to start mid 2008) Group technology/database approach Match insert to base depending on part features 6 Project Progress – Yr 1 Center for Die Casting Completed review of part quality/die design constraints Map of design variables and defects/quality constraints Map sets constraints for layout and yield Map also provides constraints for modular tooling work that will start next year Started visualization software for shot yield determination. Features include: Configure die Layout runner system Quantify shot yield versus part requirements 7 Yield Improvement Center for Die Casting Yield = Casting Wt / Shot Wt Shot Wt = Casting Wt + Biscuit/Sprue + Runner + Overflow + Flash Casting Wt = Finished Part Wt + Machining Allowance Machining allowances & flash not considered in this work Yield improvement largely means optimizing biscuit, runners and overflows 8 Technical Problem Center for Die Casting Provide software to help determine the part/die configuration that results in the highest yield subject to the gating constraints and machine availability 9 Yield Approach Center for Die Casting Visualization (low difficulty) 1. • • Adjustments are input interactively and yield, flow distance, and fill time are fed back User makes changes interactively Optimization (high difficulty) 2. • • Algorithm makes translations and rotations in 3space seeking higher yield, shorter fill distances, and minimum number of gates Depends on feasibility of some type of ejectability analysis 10 Progress Part Geom. Yield PQ2 Runner Layout Insert Layout Quality vs. Yield PQ2 is the best available way to relate quality requirements to die/process design (fill time, gate velocity, static pressure). Fill time and gate velocity largely control surface finish and porosity Biscuit volume and runner layout determine yield Die configuration and gate area controls the runner layout Quality Spec’s Fill Time & Gate Vel Center for Die Casting Plunger selection and runner layout are the primary levers to control yield Die Base 11 Injection System & Quality Relationships Metal pressure and metal flow rate control surface finish, porosity, casting integrity – i.e. control quality Machine determines power available Plunger size and machine control flow rate and also pressure on metal Gate area and machine operating point control metal speed thru gate Plunger size determines biscuit size that contributes to yield PQ2 Diagram Relating Machine, Die and Gating Major Constraints/Limits Center for Die Casting Machine availability Sleeve availability Fill requirements (control fill defects) Surface finish Consistency across cavities Possibly solidification pattern 13 Key Factors Center for Die Casting Biscuit Sleeve selection controls diameter 2.5” sleeve vs. 2.0 56% larger volume for same length Sleeve should be optimized based on requirements Process control controls biscuit length Runner System Depends on die layout Fill zone requirements control number of gates Gate dimensions and location plus layout control runner layout 14 Summary Runner System and Quality Center for Die Casting Runner big factor in yield Runner must connect gate to part Gate locations and size determined by fill pattern requirements that impact trapped gas porosity and surface finish More gates means more runner volume and lower yield More gates often used to reduce distance metal must flow to fill cavity (reduce chance of premature solidification and fill defects) Total gate size determined by machine and metal gate speed requirements Match machine power to part requirements (see figure on previous slide) Opportunity is to improve part layout in die to improve the runner system to improve both yield and performance 15 Runner Layout for Visualization Center for Die Casting Quadratic spline techniques implemented to aid runner system layout Fast and easy generation of alternatives Immediate yield feed back while meeting gate area (quality) constraints 16 Example – What should happen Part should be rotated 180 degrees Kicker gates removed eliminating the outside runners Main gates increased in size to accommodate the other changes Depending on machine, biscuit could be moved closer to the part to shorten runner Short Term Plans Center for Die Casting Visualization work for yield will be completed. Testing “before and after” yield and quality results for at least 3 dies 18 Short term Plans Con’t Center for Die Casting Existing qualitative ejectability analysis algorithms will be implemented Die layout affects ejectability as well as yield Visual and quantitative feedback of the ejection force distribution on the part will be provided User of the software will be able evaluate yield/ejection tradeoffs 19 Mid Term Center for Die Casting Explore optimization/design guidance for yield and quality 20 Longer Term Center for Die Casting Holder block matching and selection 21 Acknowledgements Center for Die Casting AMC’s PRO-ACT program is sponsored by the Defense Supply Center Philadelphia, Philadelphia, PA, Defense Logistics Agency, Ft. Belvoir, VA 22
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