冲压模具设计外文文献翻译、中英文翻译.doc

PAGE PAGE PAGE 22 Abstract In stamping, operating cost are dominated by raw material costs, which can typically reach 75% of total costs in a stamping facility. In this paper, a new algorithm is described that determines stamping strip layouts for pairs of parts such that the layout optimizes material utilization efficiency. This algorithm predicts the jointly-optimal blank orientation on the strip, relative positions of the paired blanks and the optimum width for the strip. Examples are given for pairing the same parts together with one rotated 180o, and for pairs of different parts nested together. This algorithm is ideally suited for incorporation into die design CAE systems. This paper focuses on how computer aided engineering(CAE) allows engineers at early stages of product sign to predict and optimize mold filling, resid ualstress, structural response and post-processing shrink a geand warp age of the final part. The material properties and characteristics of the final part are highly influenced by the flow pattern, temperature and curing of the material inside the mold. The use of these tools has been used to solve design problems at early stages and avoid expensive and time consuming trial-and-error procedures and mold modifications resulting after the mold is manufactured. Keywords: Stamping；Die Design；Optimization； Material Utilization； Minkowski Sum；Design Tool Introduction In stamping, sheet metal parts of various levels of complexity are produced rapidly, often in very high volumes, using hard tooling. The production process operates efficiently, and material costs can typically represent 75% of total operating costs in a stamping facility [1]. Not all of this material is used in the parts, however, due to the need to trim scrap material from around irregularly-shaped parts. The amount of scrap produced is directly related to the efficiency of the stamping strip layout. Clearly, using optimal strip layouts is crucial to a stamping firm’s co