【正文】 畢業(yè)設(shè)計(jì) 外文翻譯 題 目 曲軸的加工工藝及夾具設(shè)計(jì) 學(xué) 院 航海學(xué)院 專 業(yè) 輪機(jī)工程 學(xué) 生 佟寶誠 學(xué) 號 10960123 指導(dǎo)教師 彭中波 重慶交通大學(xué) 2021 年 Proceedings of IMECE2021 2021 ASME International Mechanical Engineering Congress and Exposition October 31November 6, 2021, Boston, Massachusetts, USA IMECE202167447 MULTIOBJECTIVE SYSTEM OPTIMIZATION OF ENGINE CRANKSHAFTS USING AN INTEGRATION APPROACH Albert Albers/IPEK Institute of Product Development University of Karlsruhe Germany Noel Leon/CIDyT Center for Innovation andDesign Monterrey Institute of Technology,Mexico Humberto Aguayo/CIDyT Center forInnovation and Design, Monterrey Institute ofTechnology, Mexico Thomas Maier/IPEK Institute of Product Development University of Karlsruhe Germany ABSTRACT The ever increasing puter capabilities allow faster analysis in the field of Computer Aided Design and Engineering (CAD amp。 CAE). CAD and CAE systems are currently used in Parametric and Structural Optimization to find optimal topologies and shapes of given parts under certain conditions. This paper describes a general strategy to optimize the balance of a crankshaft, using CAD and CAE software integrated with Geic Algorithms (GAs) via programming in Java. An introduction to the groundings of this strategy is made among different tools used for its implementation. The analyzed crankshaft is modeled in mercial parametric 3D CAD software. CAD is used for evaluating the fitness function (the balance) and to make geometric modifications. CAE is used for evaluating dynamic restrictions (the eigenfrequencies). A Java interface is programmed to link the CAD model to the CAE software and to the geic algorithms. In order to make geometry modifications to our case study, it was decided to substitute the profile of the counterweights with splines from its original “arcshaped” design. The variation of the splined profile via control points results in an imbalance response. The imbalance of the crankshaft was defined as an independent objective function during a first approach, followed by a Pareto optimization of the imbalance from both correction planes, plus the curvature of the profile of the counterweights as restrictions for material flow during fing. The natural frequency was considered as an additional objective function during a second approach. The optimization process runs fully automated and the CAD program is on hold waiting for new set of parameters to receive and process, saving puting time, which is otherwise lost during the repeated startup of the cad application. The development of engine crankshafts is subject to a continuous evolution due to market pressures. Fast market developments push the increase of power, fuel economy, durability and reliability of bustion engines, and calls for reduction of size, weight, vibration and noise, cost, etc. Optimized engine ponents are therefore required if petitive designs must be attained. Due to this conditions, crankshafts, which are one of the most analyzed engine ponents, are required to be improved [1]. One of these improvements relies on material position, as panies that develop bustion engines have expressed their intentions to change actual nodular steel crankshafts from their engines, to fed steel crankshafts. Another important direction of improvement is the optimization of its geometrical characteristics. In particular for this paper is the imbalance, first Eigenfrequency and the feability. Analytical tools can greatly enhance the understanding of the physical phenomena associated with the mentioned characteristics and can be automated to do programmed tasks that an engineer requires for optimizing a design [2].The goals of the present research are: to construct a strategy for the development of engine crankshafts based on the integration of: CAD and CAE (Computer Aided Design amp。Engineering) software to model and evaluate functional parameters, Geic Algorithms as the optimization method, the use of splines for shape construction and Java language programming for integration of the systems. Structural optimization under these conditions allows puters to work in an automated environment and the designer to speed up and improve the traditional design process. The specific requirements to be satisfied by the strategies are: Approach the target of imbalance of a V6 engine crankshaft, without affecting either its weight or its manufacturability. Develop interface programming that allows integration of the different software: CAD for modeling and geometric evaluations, CAE for simulation analysis and evaluation ,Geic Algorithms for optimization and search for alternatives . Obtain new design concepts for the shape of the counterweights that help the