Harmony Search Algorithm for Minimizing Assembly Variation in Non-linear Assembly

The proposed work aims to acquire the maximum number of non-linear assemblies with closer assembly tolerance specifications by mating the different bins’ components. Before that, the components are classified based on the range of tolerance values and grouped into different bins. Further, the manufa...

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Main Authors: Siva Kumar Mahalingam, Lenin Nagarajan, Sachin Salunkhe, Emad Abouel Nasr, Jõao Paulo Davim, Hussein M. A. Hussein
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/11/19/9213
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author Siva Kumar Mahalingam
Lenin Nagarajan
Sachin Salunkhe
Emad Abouel Nasr
Jõao Paulo Davim
Hussein M. A. Hussein
author_facet Siva Kumar Mahalingam
Lenin Nagarajan
Sachin Salunkhe
Emad Abouel Nasr
Jõao Paulo Davim
Hussein M. A. Hussein
author_sort Siva Kumar Mahalingam
collection DOAJ
description The proposed work aims to acquire the maximum number of non-linear assemblies with closer assembly tolerance specifications by mating the different bins’ components. Before that, the components are classified based on the range of tolerance values and grouped into different bins. Further, the manufacturing process of the components is selected from the given and known alternative processes. It is incredibly tedious to obtain the best combinations of bins and the best process together. Hence, a novel approach using the combination of the univariate search method and the harmony search algorithm is proposed in this work. Overrunning clutch assembly is taken as an example. The components of overrunning clutch assembly are manufactured with a wide tolerance value using the best process selected from the given alternatives by the univariate search method. Further, the manufactured components are grouped into three to nine bins. A combination of the best bins is obtained for the various assembly specifications by implementing the harmony search algorithm. The efficacy of the proposed method is demonstrated by showing 24.9% of cost-savings while making overrunning clutch assembly compared with the existing method. The efficacy of the proposed method is demonstrated by showing 24.9% of cost-savings while making overrunning clutch assembly compared with the existing method. The results show that the contribution of the proposed novel methodology is legitimate in solving selective assembly problems.
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spelling doaj.art-765bd5167f744d0ba86693688f885e3d2023-11-22T15:49:23ZengMDPI AGApplied Sciences2076-34172021-10-011119921310.3390/app11199213Harmony Search Algorithm for Minimizing Assembly Variation in Non-linear AssemblySiva Kumar Mahalingam0Lenin Nagarajan1Sachin Salunkhe2Emad Abouel Nasr3Jõao Paulo Davim4Hussein M. A. Hussein5Department of Mechanical Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai 600062, IndiaDepartment of Mechanical Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai 600062, IndiaDepartment of Mechanical Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai 600062, IndiaIndustrial Engineering Department, College of Engineering, King Saud University, Riyadh 11421, Saudi ArabiaDepartment of Mechanical Engineering, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, PortugalMechanical Engineering Department, Faculty of Engineering, Helwan University, Cairo 11732, EgyptThe proposed work aims to acquire the maximum number of non-linear assemblies with closer assembly tolerance specifications by mating the different bins’ components. Before that, the components are classified based on the range of tolerance values and grouped into different bins. Further, the manufacturing process of the components is selected from the given and known alternative processes. It is incredibly tedious to obtain the best combinations of bins and the best process together. Hence, a novel approach using the combination of the univariate search method and the harmony search algorithm is proposed in this work. Overrunning clutch assembly is taken as an example. The components of overrunning clutch assembly are manufactured with a wide tolerance value using the best process selected from the given alternatives by the univariate search method. Further, the manufactured components are grouped into three to nine bins. A combination of the best bins is obtained for the various assembly specifications by implementing the harmony search algorithm. The efficacy of the proposed method is demonstrated by showing 24.9% of cost-savings while making overrunning clutch assembly compared with the existing method. The efficacy of the proposed method is demonstrated by showing 24.9% of cost-savings while making overrunning clutch assembly compared with the existing method. The results show that the contribution of the proposed novel methodology is legitimate in solving selective assembly problems.https://www.mdpi.com/2076-3417/11/19/9213selective assemblyoverrunning clutch assemblyunivariate search methodharmony search algorithm
spellingShingle Siva Kumar Mahalingam
Lenin Nagarajan
Sachin Salunkhe
Emad Abouel Nasr
Jõao Paulo Davim
Hussein M. A. Hussein
Harmony Search Algorithm for Minimizing Assembly Variation in Non-linear Assembly
Applied Sciences
selective assembly
overrunning clutch assembly
univariate search method
harmony search algorithm
title Harmony Search Algorithm for Minimizing Assembly Variation in Non-linear Assembly
title_full Harmony Search Algorithm for Minimizing Assembly Variation in Non-linear Assembly
title_fullStr Harmony Search Algorithm for Minimizing Assembly Variation in Non-linear Assembly
title_full_unstemmed Harmony Search Algorithm for Minimizing Assembly Variation in Non-linear Assembly
title_short Harmony Search Algorithm for Minimizing Assembly Variation in Non-linear Assembly
title_sort harmony search algorithm for minimizing assembly variation in non linear assembly
topic selective assembly
overrunning clutch assembly
univariate search method
harmony search algorithm
url https://www.mdpi.com/2076-3417/11/19/9213
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