A New Artificial Immune Algorithm for Solving Gear Design Problem

Abstract:

The design of gears is critical for smooth running of any mechanism, automobile and machinery. Gear drive design starts with the need of optimizing the gear thickness, module, number of teeth etc., this creates huge challenges to a designer. Optimization algorithms are more flexible and gaining importance in engineering design problems, because of the accessibility and affordability of today’s mechanical field. A population based heuristic algorithm offers well-organized ways of creating and comparing a novel design solution in order to complete an optimal design. In this paper, a new artificial immune system based algorithm proposed as Modified Artificial Immune System (MAIS) algorithm is used to optimize a gear design problem. The results are compared with an existing design.

• Periodical: Applied Mechanics and Materials (Volumes 766-767)
• Pages: 1003-1008
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.766-767.1003
• Online since: June 2015
• Authors: Sambandam Padmanabhan*, S. Sivasaravanan, Karun Devasundaram
• Keywords: Artificial Immune System, Gear Design, Gear Materials, Multi-Objective Optimization, Spur Gear Drive

References

[1] Mahmoud M. El-Sherbiny and Yasser M. Ibrahim, An Artificial Immune Algorithm with Alternative Mutation Methods: Applied to the Student Project Assignment Problem, International Conference on Innovation and Information Management (ICIIM 2012), 36 (2012).

[2] Mohsen Afshari and Hedieh Sajedi , A Novel Artificial Immune Algorithm for Solving the Job Shop Scheduling Problem, Intl. Journal of Computer Applications , 48– 14 (2012) 46-53.

DOI: 10.5120/7420-0464

[3] Chen Yunfang, A General Framework for Multi-Objective Optimization Immune Algorithms, I.J. Intelligent Systems and Applications, 6 (2012) 1-13.

[4] S. Gopinath, C. Arumugam and M. Chandrasekaran, A Hybrid Approach for Solving Multi Objective Job Shop Scheduling Problems, European Journal of Scientific Research, 88 (2012) 146-154.

DOI: 10.4028/www.scientific.net/amm.766-767.1209

[5] S. Prabhakaran and S. Ramachandran, Comparison of bending Stress of a Helical Gear for Different Materials and Modules using AGMA Standards in FEA, Applied Mechanics and Materials, 376 (2013) 423-427.

DOI: 10.4028/www.scientific.net/amm.376.423

[6] S. Prabhakaran and S. Ramachandran, Comparison of Bending Stress of a spur Gear for Different Materials and Modules using AGMA Standards in FEA, Advanced Materials Research, 739 (2013) 382-387.

DOI: 10.4028/www.scientific.net/amr.739.382

[7] Ashtosh Kumar Singh, Rakesh Saxena, Anadi Misra, Optimization of Internal Spur Gear Design By Using Genetic Algorithm, MIT Intel Jou of Mechanical Engineering, 2 (2012) 2-30.

[8] S. Padmanabhan, V. Srinivasa Raman and M. Chandrasekaran, Optimization of Gear Reducer using Evolutionary Algorithm, Materials Research Innovations, Vol. 18, No. S6, pp S378-383, 2014, Maney Pulications, UK.

DOI: 10.1179/1432891714z.000000000983

[9] Ovidiu Buiga, Claudiu-Ovidiu Popa, Optimal Mass Design of A Single-Stage Helical Gear Unit with Genetic Algorithms, Proceedings Of The Romanian Academy, 13 (2012) 243–250.

[10] S. Padmanabhan, M. Chandrasekaran, P. Asokan and V. Srinivasa Raman, Optimal Solution for Gear Drive Design Using Population Based Algorithm, International Journal of Review of Mechanical Engineering, 5 (2013) 802-806.

[11] D.W. Dudley, Handbook of Practical Gear Design, McGraw–Hill Book Co: New York, (1994).

[12] Design Data Book, Faculty of Mechanical Engineering, PSG College of Technology, India, (2008).

[13] Juan Carlos Herrera-Lozada, Hiram Calvo, and Hind Taud, A Micro Artificial Immune System, Polibits  no. 43 México ene. /jun. (2011).

DOI: 10.17562/pb-43-15