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Experimental of Multi-holes Drilling Toolpath Using Particle Swarm Optimization and CAD-CAM Software on PCB

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Recent Trends in Mechatronics Towards Industry 4.0

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 730))

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Abstract

A multi-holes drilling process is widely used in electronics industry to produce printed circuit board (PCB). Nowadays, millions of PCB need to be produced in a single day to support the technological growth in all aspects of life. In this industry, the most time-consuming process is to drill the holes on the board. According to a survey, the tool movement in multi-holes drilling process spent up to 70% of the machining time. Various approaches have been proposed to optimize the toolpath in multi-holes drilling process. Previously, a computational experiment has been conducted to identify the best meta-heuristic algorithm to optimize this problem. The finding shows that Particle Swarm Optimization (PSO) has outperformed other comparison algorithm to generate the best toolpath. This paper aim to validate the PSO performance through an experiment. For this purpose, the experiment consist of nine drilling problems has been conducted to compare the toolpath that generated by PSO and commercial CAD-CAM software. The results indicated that the PSO generated toolpath is consistently faster than CAD-CAM generated toolpath, with 5% average difference. This finding confirmed that PSO has a great potential to be used in this process.

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Acknowledgements

This research is funded by Universiti Malaysia Pahang under grant number RDU160356 and RDU180331.

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Authors and Affiliations

  1. Department of Industrial Engineering, College of Engineering, Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26300, Kuantan, Pahang, Malaysia

    N. W. Z. Abidin, Mohd Fadzil Faisae Ab. Rashid, N. M. Z. N. Mohamed & A. N. M. Rose

  2. Faculty of Mechanical and Automotive Engineering Technology, Universiti Malaysia Pahang, 26600, Pekan, Pahang, Malaysia

    N. Salim & A. Mokhtar

Authors
  1. N. W. Z. Abidin
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  2. N. Salim
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  3. Mohd Fadzil Faisae Ab. Rashid
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  4. N. M. Z. N. Mohamed
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  5. A. N. M. Rose
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  6. A. Mokhtar
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Corresponding author

Correspondence to Mohd Fadzil Faisae Ab. Rashid .

Editor information

Editors and Affiliations

  1. Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang, Pekan, Malaysia

    Ahmad Fakhri Ab. Nasir

  2. Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang, Pekan, Malaysia

    Ahmad Najmuddin Ibrahim

  3. Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang, Pekan, Malaysia

    Ismayuzri Ishak

  4. Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang, Pekan, Malaysia

    Nafrizuan Mat Yahya

  5. Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang, Pekan, Malaysia

    Muhammad Aizzat Zakaria

  6. Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang, Pekan, Malaysia

    Anwar P. P. Abdul Majeed

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Abidin, N.W.Z., Salim, N., Rashid, M.F.F.A., Mohamed, N.M.Z.N., Rose, A.N.M., Mokhtar, A. (2022). Experimental of Multi-holes Drilling Toolpath Using Particle Swarm Optimization and CAD-CAM Software on PCB. In: Ab. Nasir, A.F., Ibrahim, A.N., Ishak, I., Mat Yahya, N., Zakaria, M.A., P. P. Abdul Majeed, A. (eds) Recent Trends in Mechatronics Towards Industry 4.0. Lecture Notes in Electrical Engineering, vol 730. Springer, Singapore. https://doi.org/10.1007/978-981-33-4597-3_19

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