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Accuracy control of contactless laser sensor system using whale optimization algorithm and moth-flame optimization

Unsicherheitsanalyse von Lasermesssystemen durch Verwendung des Whale-Optimization-Algorithmus und der Moth-Flame-Optimierung
Vimal Kumar Pathak

Vimal Kumar Pathak received his B.Tech in Mechanical Engineering from Krishna Engineering College, UPTU, in 2008. He has completed M.Tech from Indian School of Mines Dhanbad in 2013. Currently, he is a Ph.D. research scholar in Mechanical Engineering Department, Malaviya National Institute of Technology Jaipur. His area of Interests include Rapid prototyping, Reverse Engineering, Automated inspection and GD&T.

Malaviya National Institute of Technology, Department of Mechanical Engineering, JLN Marg, Rajasthan – 302017 Jaipur, India

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and Amit Kumar Singh

Dr. Amit Kumar Singh is an Assistant Professor in Mechanical Engineering Department at Malaviya National Institute of Technology Jaipur. He has completed his Ph.D. from BITS Pilani in 2012. He is currently guiding 6 Ph.D. and several masters and B.Tech students. His research interests include CAD, Additive Manufacturing, Reverse Engineering, Rapid Tooling, Bio Mechanics and FEM based optimization. He has about 40 journal and conference publication in his credit.

Malaviya National Institute of Technology, Department of Mechanical Engineering, JLN Marg, Rajasthan – 302017 Jaipur, India

From the journal tm - Technisches Messen

Abstract

This paper predict the effect of the object's morphology on the final accuracy of the scanned data, for the case of contactless laser scanning. On the basis of the scanned objects morphology, two important process parameters are specified namely scanning angle and distance of the laser from the part surface. Experiments have been performed with different scanning conditions using full factorial design. An analytical prediction model for determining the standard deviation of the final surface is developed in terms of the aforesaid scanning parameters using response surface methodology (RSM). Furthermore, the optimal scanning parameters are predicted after comparing two almost unexplored nature inspired algorithms i.e. Whale Optimization Algorithm (WOA) and Moth-Flame Optimization (MFO). Finally, two realistic non-trivial case studies are considered for validation of the proposed methodology. The result shows that the standard deviation of the final reverse engineered models significantly reduced by 21.6% and 13.77%. The adopted methodology provides the optimal combination of morphological scanning process parameters with a considerable reduction in standard deviation for final scanned surface models.

Zusammenfassung

In diesem Beitrag wird der Einfluss der Form eines Objekts auf die erzielbare Unsicherheit bei der laserbasierten Form- und Oberflächenmesstechnik diskutiert. Abgeleitet von der Form und Geometrie des zu scannenden Objekts ergeben sich zwei wichtige, die Präzision der Abtastung bestimmende Parameter, nämlich der Abstand zwischen dem Objekt und der Laserquelle und die Winkelposition der Laserquelle relativ zum Objekt. Es wurden Experimente vorgenommen, in denen kombinatorisch alle Konstellationen untersucht wurden. Ein mathematisches Modell zur Abschätzung der Standardunsicherheit der Oberflächenpositionen als Funktion dieser Parameter wurde erstellt. Ferner wurden die optimalen Beobachtungsparameter unter Nutzung von bionisch inspirierten Algorithmen wie dem Whale-Optimization-Algorithmus (WOA) und der Moth-Flame-Optimierung (MFO) ermittelt. Über zwei realistische Scan-Szenarien werden die Resultate validiert. Es kann gezeigt werden, dass unter Verwendung dieser vorgeschlagenen Methoden die Schätzunsicherheiten um 21, 6% bzw. 13, 77% reduziert werden konnten.

About the authors

Vimal Kumar Pathak

Vimal Kumar Pathak received his B.Tech in Mechanical Engineering from Krishna Engineering College, UPTU, in 2008. He has completed M.Tech from Indian School of Mines Dhanbad in 2013. Currently, he is a Ph.D. research scholar in Mechanical Engineering Department, Malaviya National Institute of Technology Jaipur. His area of Interests include Rapid prototyping, Reverse Engineering, Automated inspection and GD&T.

Malaviya National Institute of Technology, Department of Mechanical Engineering, JLN Marg, Rajasthan – 302017 Jaipur, India

Amit Kumar Singh

Dr. Amit Kumar Singh is an Assistant Professor in Mechanical Engineering Department at Malaviya National Institute of Technology Jaipur. He has completed his Ph.D. from BITS Pilani in 2012. He is currently guiding 6 Ph.D. and several masters and B.Tech students. His research interests include CAD, Additive Manufacturing, Reverse Engineering, Rapid Tooling, Bio Mechanics and FEM based optimization. He has about 40 journal and conference publication in his credit.

Malaviya National Institute of Technology, Department of Mechanical Engineering, JLN Marg, Rajasthan – 302017 Jaipur, India

Acknowledgement

We wish to thank the Department of Science and Technology (DST), India for their project reference: PF No. DRC-14/40/2014/09/180/0044 and project No. 180400044 for providing their financial assistance and facilities.

Received: 2017-3-24
Revised: 2017-7-6
Accepted: 2017-7-10
Published Online: 2017-9-20
Published in Print: 2017-11-27

©2017 Walter de Gruyter Berlin/Boston

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