Ultrasonic peen forming of aluminum 6061-T6: Energy minimization subjected to maximum formability and surface properties

Minimizing power consumption and enhancement of product quality characteristics are main important aims of sustainable manufacturing process. However, achieving both goals at same time requires comprehensive understanding of process mechanism and having careful control on setup parameters. In the pr...

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Main Authors: Reza Teimouri, Saeid Amini
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2019-06-01
Series:International Journal of Lightweight Materials and Manufacture
Online Access:http://www.sciencedirect.com/science/article/pii/S2588840419300277
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spelling doaj-fc594caf53da49418f666a29e7662efe2020-11-24T21:21:49ZengKeAi Communications Co., Ltd.International Journal of Lightweight Materials and Manufacture2588-84042019-06-0122156168Ultrasonic peen forming of aluminum 6061-T6: Energy minimization subjected to maximum formability and surface propertiesReza Teimouri0Saeid Amini1Corresponding author.; Faculty of Mechanical Engineering, University of Kashan, Kashan, IranFaculty of Mechanical Engineering, University of Kashan, Kashan, IranMinimizing power consumption and enhancement of product quality characteristics are main important aims of sustainable manufacturing process. However, achieving both goals at same time requires comprehensive understanding of process mechanism and having careful control on setup parameters. In the present work, optimization attempt based on response surface methodology (RSM) has been carried out to minimize the energy consumption of ultrasonic peen forming process subjected to desired value of surface roughness, arc height and hardness by finding optimal input setting of indentation depth, vibration amplitude, feed speed and step over. Analysis of variances (ANOVA) has been carried out to obtain the adequacy precision and to find which factor has greatest impact on quality characteristics. Results indicated that step over and vibration amplitude are the most effective factors on forming energy and surface roughness, respectively. On the other hand, the feed rate has greatest impact on arc height and hardness. The optimization results showed setting of 0.07 mm indentation depth, 15 μm vibration amplitude, 1000 mm feed rate and 0.09 mm step over has been selected as an optimal solution causing 2 kJ consumed energy that is less than 50% of maximum energy. In such condition the surface roughness, arc height and hardness improve about 46%, 74% and 29%, respectively. The optimum results have been further verified through a confirmatory experiment and there is good correlation between both approaches. Keywords: Ultrasonic peen forming, Energy consumption, Response surface methodology, Optimizationhttp://www.sciencedirect.com/science/article/pii/S2588840419300277
collection DOAJ
language English
format Article
sources DOAJ
author Reza Teimouri
Saeid Amini
spellingShingle Reza Teimouri
Saeid Amini
Ultrasonic peen forming of aluminum 6061-T6: Energy minimization subjected to maximum formability and surface properties
International Journal of Lightweight Materials and Manufacture
author_facet Reza Teimouri
Saeid Amini
author_sort Reza Teimouri
title Ultrasonic peen forming of aluminum 6061-T6: Energy minimization subjected to maximum formability and surface properties
title_short Ultrasonic peen forming of aluminum 6061-T6: Energy minimization subjected to maximum formability and surface properties
title_full Ultrasonic peen forming of aluminum 6061-T6: Energy minimization subjected to maximum formability and surface properties
title_fullStr Ultrasonic peen forming of aluminum 6061-T6: Energy minimization subjected to maximum formability and surface properties
title_full_unstemmed Ultrasonic peen forming of aluminum 6061-T6: Energy minimization subjected to maximum formability and surface properties
title_sort ultrasonic peen forming of aluminum 6061-t6: energy minimization subjected to maximum formability and surface properties
publisher KeAi Communications Co., Ltd.
series International Journal of Lightweight Materials and Manufacture
issn 2588-8404
publishDate 2019-06-01
description Minimizing power consumption and enhancement of product quality characteristics are main important aims of sustainable manufacturing process. However, achieving both goals at same time requires comprehensive understanding of process mechanism and having careful control on setup parameters. In the present work, optimization attempt based on response surface methodology (RSM) has been carried out to minimize the energy consumption of ultrasonic peen forming process subjected to desired value of surface roughness, arc height and hardness by finding optimal input setting of indentation depth, vibration amplitude, feed speed and step over. Analysis of variances (ANOVA) has been carried out to obtain the adequacy precision and to find which factor has greatest impact on quality characteristics. Results indicated that step over and vibration amplitude are the most effective factors on forming energy and surface roughness, respectively. On the other hand, the feed rate has greatest impact on arc height and hardness. The optimization results showed setting of 0.07 mm indentation depth, 15 μm vibration amplitude, 1000 mm feed rate and 0.09 mm step over has been selected as an optimal solution causing 2 kJ consumed energy that is less than 50% of maximum energy. In such condition the surface roughness, arc height and hardness improve about 46%, 74% and 29%, respectively. The optimum results have been further verified through a confirmatory experiment and there is good correlation between both approaches. Keywords: Ultrasonic peen forming, Energy consumption, Response surface methodology, Optimization
url http://www.sciencedirect.com/science/article/pii/S2588840419300277
work_keys_str_mv AT rezateimouri ultrasonicpeenformingofaluminum6061t6energyminimizationsubjectedtomaximumformabilityandsurfaceproperties
AT saeidamini ultrasonicpeenformingofaluminum6061t6energyminimizationsubjectedtomaximumformabilityandsurfaceproperties
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