Placement sequence identification using artificial neural networks in surface mount PCB assembly

Su, Yann-Yean; Srihari, K.

doi:10.1007/bf01351286

Cited by 15 publications

(5 citation statements)

References 12 publications

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“…There are different techniques applied in PCB inspection research which include trends to use artificial intelligence [20], such as evolutionary computation [21] and swarm intelligence [22] techniques. Among these techniques, image matching-based techniques have been extensively considered due to good performance [23] and [24].…”

Section: Related Workmentioning

confidence: 99%

Enhancing an Automated Inspection System on Printed Circuit Boards Using Affine-SIFT and TRIZ Techniques

Aghamohammadi

Ang

Prabuwono

et al. 2013

Advances in Visual Informatics

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Abstract. Automated visual inspection is an important step to assure the quality of printed circuit boards (PCB). Component placement errors such as missing, misaligned or incorrectly rotated component are major causes of defects on surface mount PCB. This paper proposes a novel automated visual inspection method for PCB. The proposed method uses a sequence of image processing techniques inspired by the theory of inventive problem solving (TRIZ) with Affine-SIFT image matching techniques to enhance the component placement inspection. Only analytic discussions are presented in this paper to support the potential of the proposed method.

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Section: Related Workmentioning

confidence: 99%

Enhancing an Automated Inspection System on Printed Circuit Boards Using Affine-SIFT and TRIZ Techniques

Aghamohammadi

Ang

Prabuwono

et al. 2013

Advances in Visual Informatics

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“…In structure‐to‐structure formulation (Kumar and Li, 1988; Ahamdi et al , 1998; Mainmon and Shtub, 1991; Grotzinger, 1992; Leipala and Nevalainen, 1989; Foulds and Hamacher, 1993; Sohn and Park, 1996, Sadiq et al , 1993; Moyer and Gupta, 1996; Carmon et al , 1989; Shih et al , 1996; Yeo et al , 1996; Su and Srihari, 1996), usually the time is the parameter utilized to judge between the possible assignments. This is mainly because the structure‐to‐structure formulation has been divided into two parts which are optimized independently and the parameter common between them is time.…”

Section: Assignment Problem and Relevant Algorithmsmentioning

confidence: 99%

A new algorithm for pick‐and‐place operation

Aminzadeh

Würdemann

Dai

et al. 2010

Industrial Robot: An International Journal

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If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. AbstractPurpose -This paper aims to represent a novel framework for optimization of robotic handling from disarray to structure where the products are randomly distributed on a surface, the initial location of the products are known (with the aid of image processing, laser position sensors, etc.) and there is a set of final positions for the products. Design/methodology/approach -Pick-and-place is one of the main solutions especially for the food products where the products are prone to damage, have adhesive surfaces and the grippers can be complicated. The aim of this paper is to maximize the utilization of the pick-and-place robotic system. In order to do so the handling process is modelled mathematically and the pick-and-place problem is formulated based on assignment problem where Hungarian algorithm is utilized to minimize the total distance travelled by the robot. Furthermore, a simulation program is developed to demonstrate the possible improvements of the algorithm in comparison with the existing algorithms. Findings -Utilizing the proposed algorithm can significantly increase the utilization of robots in the pick-and-place operation. Originality/value -The new optimization algorithm can be applied to any industry with pick-and-place where time efficiency and maximum utilization matters.

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“…Some approaches such as tabu search (Su, Hu and Fu 1998;Csaszar, Tirpak and Nelson 2000b), GAs Khoo and Ng 1998;Ong 1998, Ong andTan 2002;Chyu and Chang 2008), neurofuzzy modelling (Tsai, Yang and Hou 2005), expert system (Huang and Srihari 1994), knowledgebased (De Souza and Lijun 1994), rule-based (Mettalla and Egeblu 1989) and neural networks (Su and Srihari 1996) are among the effective approaches when optimising component pick-and-place sequence and feeder setup.…”

Section: 3mentioning

confidence: 99%

The optimisation of the single surface mount device placement machine in printed circuit board assembly: a survey

Ayob

Kendall

2009

International Journal of Systems Science

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This article surveys research on the single surface mount device (SMD) placement machine optimisation problem. We classify the optimisation problem into five sub-problems: feeder setup, component placement sequencing, nozzle optimisation, component retrieval plan and motion control; and analyse issues relevant to each of these. One of the aims of this article is to provide guidance to other researchers and gain a deeper understanding of the various optimisation issues that arise in this domain. This could lead to the design of improved heuristics, which are more appropriate to the real-world scheduling problem of the SMD placement machine.

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Placement sequence identification using artificial neural networks in surface mount PCB assembly

Abstract: Rdvanced fllanufacturinu Technoi oguThe widespread use of automation in the printed circuit board (PCB)

Cited by 15 publications

References 12 publications

Enhancing an Automated Inspection System on Printed Circuit Boards Using Affine-SIFT and TRIZ Techniques

Enhancing an Automated Inspection System on Printed Circuit Boards Using Affine-SIFT and TRIZ Techniques

A new algorithm for pick‐and‐place operation

The optimisation of the single surface mount device placement machine in printed circuit board assembly: a survey

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