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An integrated simulation method for product design based on part semantic model

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Abstract

In mechanical product design, rapid and effective simulation is invariably essential since the design flaws can be spotted by the simulation results in advance. However, currently, most designers always perform assembly process and kinematics simulation separately, which may lead to repetitive work and low design efficiency. To address the problem, this paper presents a novel method for product design which aims to integrate the assembly process and kinematics simulation seamlessly. To begin with, a semantic modeling method for part information is introduced, which is the premise and foundation to achieve the integration. Secondly, the assembly process simulation is carried out according to the defined steps derived from interactive semantic reasoning among parts. Moreover, the completed assembled model is utilized to generate kinematic pairs automatically, which can help avoid a lot of unnecessary preparations for kinematics simulation. Meanwhile, physics engine is adopted to provide a stable kinematics operation. Based on these, the assembly plan and motion characteristics of a new product can be analyzed effectively and quickly. Therefore, the designers can obtain the analytical results and attempt different design schemes readily. Finally, the effectiveness of the integrated simulation method is verified by a case study of excavator assembly process and kinematics simulation.

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Funding

The work is supported by the National Natural Science Foundation of China (No. 51475291).

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Authors and Affiliations

  1. Institute of Intelligent Manufacturing and Information Engineering, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China

    Wenmin Zhu, Xiumin Fan, Li Tian & Qichang He

Authors
  1. Wenmin Zhu
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  2. Xiumin Fan
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  3. Li Tian
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  4. Qichang He
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Corresponding author

Correspondence to Xiumin Fan.

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Zhu, W., Fan, X., Tian, L. et al. An integrated simulation method for product design based on part semantic model. Int J Adv Manuf Technol 96, 3821–3841 (2018). https://doi.org/10.1007/s00170-018-1808-1

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  • DOI: https://doi.org/10.1007/s00170-018-1808-1

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