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Computer-aided tolerance chain identification system for tolerance allocation

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Abstract

In manufacturing industry tolerance has a significant role in both the growth and the cost of the final product. Tolerance allocation is a crucial design strategy that must be used in order to achieve the dual goals of lowering the overall cost of production while keeping the appropriate degree of quality. Tolerance allocation is a vital design technique that must be implemented in order to fulfil the twin aims of reducing the total cost of production while maintaining the required level of quality. Tolerance allocation is the only method that will work for accomplishing this goal. In order to properly do tolerance charting, it is necessary to first identify the tolerance chain. It is necessary to identify each operation's working dimension and tolerance using the tolerance chain identification method. This research presents a computer-aided method for determining working dimensions and tolerance chains, as well as for computing the average sizes of working dimensions. Charts of acceptable levels of risk are utilized as the foundation for the system. The tolerances and dimensions of the blue prints, as well as the processing capacity, are input into a nonlinear optimization model so that the lowest possible manufacturing cost can be determined. In order to solve this issue, both the Genetic Algorithm (GA) and the optimization model were used.

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Acknowledgements

The Mechanical Engineering department at Saranathan College of Engineering in Trichy, Tamil Nadu, India, and SRM TRP Engineering College in Trichy, Tamil Nadu, India, both funded this project. We'd also like to express our gratitude to the administration, professors, and technicians who assisted us with this research.

Funding

The authors declare that no funds, grants, or other support were received during the preparation of this manuscript.

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Authors and Affiliations

  1. Department of Mechanical Engineering, SRM TRP Engineering College, Irungalur, Trichy, Tamil Nadu, India

    M. Thilak, Y. Brucely, G. Paulraj & N. Senthilkumar

  2. Department of Mechanical Engineering, ULTRA College of Engineering and Technology, Madurai, Tamilnadu, 625104, India

    N. Nagaprasad

  3. School of Mechanical Engineering, Lovely Professional University, Phagwara, India

    Chander Prakash

  4. Division of Research and Innovation, Uttaranchal University, Dehradun, Uttarakhand, India

    Sandeep Kumar

  5. Centre for Excellence-Indigenous Knowledge, Innovative Technology Transfer and Entrepreneurship, Dambi Dollo University, Dambi Dollo, Ethiopia

    Krishnaraj Ramaswamy

  6. Ministry of Innovation and Technology, Addis Ababa, Ethiopia

    Krishnaraj Ramaswamy

  7. Department of Mechanical Engineering, College of Engineering, Dambi Dollo University, Dambi Dollo, Ethiopia

    Krishnaraj Ramaswamy

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  1. M. Thilak
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  2. Y. Brucely
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  4. N. Senthilkumar
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Contributions

Conceptualisation, TM, BY, PG, SN, NN, CP, SK, and KR; Data curation, TM, BY, PG, SN, NN, CP, SK, and KR; Formal analysis, TM, BY, PG, SN, NN, CP, SK and KR; Investigation, TM, BY, PG, SN, NN, CP, SK and KR; Methodology, TM, BY, PG, SN, NN, CP, SK and KR; Project administration, KR; Resources, TM, BY, PG, SN, NN, CP, SK, and KR; Software, TM, BY, PG, SN, NN, CP, SK, and KR; Supervision, KR; Validation, TM, BY, PG, SN, NN, CP, SK, and KR; Visualization, TM, BY, PG, SN, NN, CP, SK, and KR; Writing—original draft, TM, BY, PG, SN, NN, CP, SK, and KR; Data Visualization, Editing and Rewriting, TM, BY, PG, SN, NN, CP, SK, and KR.

Corresponding author

Correspondence to Krishnaraj Ramaswamy.

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Thilak, M., Brucely, Y., Paulraj, G. et al. Computer-aided tolerance chain identification system for tolerance allocation. Int J Interact Des Manuf 17, 917–929 (2023). https://doi.org/10.1007/s12008-022-01169-5

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  • DOI: https://doi.org/10.1007/s12008-022-01169-5

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