Printed Circuit Board Assembly Planning for Multi-Head Gantry SMT Machine Using Multi-Swarm and Discrete Firefly Algorithm

Hsu, Hsien-Pin

doi:10.1109/access.2020.3046495

Cited by 13 publications

(6 citation statements)

References 38 publications

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“…Through new features and intelligent jump, I-SFLA2 can find better solutions than some of the methods previously proposed. Hsu [14] also proposed a multi-group discrete firefly algorithm (MDFA), which is used to simultaneously deal with the component scheduling problem and feeder assignment problem of the multi-head gantry surface mounting technology machine. MDFA is an improved version of the standard firefly algorithm (FA), which is a meta-heuristic algorithm based on nature and population.…”

Section: Mounting Path Of Chip Mountermentioning

confidence: 99%

Research and application of high precision chip mounter for optical module laser

Wang

et al. 2023

Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023)

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With the continuous development of the new generation of semiconductor devices and modules, the size of high-end chips has also been further reduced. With the purpose of adapt to the rapid development of high-end chips, the chip mounting technology and equipment have also entered a rapid iterative development stage. Nowadays, the chip mounter is developing towards the direction of high intelligence, high precision, high efficiency, green and automatic. High precision patch equipment has been the focus of research at home and abroad. This paper summarizes the current situation of the demand for high-precision mounting technology of optical module laser in the 5G/6G field, introduces the main performance index requirements of high-precision mounting machine equipment, and systematically expounds the application status, advantages and disadvantages of high-precision mounting machine from three aspects of visual detection technology, mounting path optimization, and motion control system. The research shows that how to improve the speed and precision of mounting is still the bottleneck of the industry. Therefore, the research on the key technology of high precision and high-speed mounting has become an important competitive focus in the field of chip mounter equipment.

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Section: Mounting Path Of Chip Mountermentioning

confidence: 99%

Research and application of high precision chip mounter for optical module laser

Wang

et al. 2023

Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023)

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“…Due to the correlation between mount efficiency and the total path of the robot, the objective of this algorithm optimization is to minimize the mount paths of three robots [28][29][30][31]. The objective function is as follows:…”

Section: Establishment Of Optimization Objectivesmentioning

confidence: 99%

Path Planning for Mount Robot Based on Improved Particle Swarm Optimization Algorithm

Li,

Tian,

Hou

et al. 2023

Electronics

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To address the problem of cooperative work among right-angle coordinate robots in spacecraft structural plate mount tasks, an improved particle swarm optimization (PSO) algorithm was proposed to assign paths to three robots in a surface-mounted technology (SMT) machine. First, the optimization objective of path planning was established by analyzing the working process of the SMT machine. Then, the inertia weight update strategy was designed to overcome the early convergence of the traditional PSO algorithm, and the learning factor of each particle was calculated using fuzzy control to improve the global search capability. To deal with the concentration phenomenon of particles in the iterative process, the genetic algorithm (GA) was introduced when the particles were similar. The particles were divided into elite, high-quality, or low-quality particles according to their performance. New particles were generated through selection and crossover operations to maintain the particle diversity. The performance of the proposed algorithm was verified with the simulation results, which could shorten the planning path and quicken the convergence compared to the traditional PSO or GA. For large and complex maps, the proposed algorithm shortens the path by 7.49% and 11.49% compared to traditional PSO algorithms, and by 3.98% and 4.02% compared to GA.

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“…With the development of intelligence, more and more intelligent optimization algorithms have been proposed to resolve the inverse kinematics of the HRM, such as neural network algorithms [6][7][8], particle swarm optimization algorithms [9,10], differential evolution algorithms [11,12], genetic algorithms [13], simulates anneal arithmetic [14], firefly swarm algorithms [15][16][17], artificial bee swarm algorithms [18], and other intelligent algorithms. Although intelligent algorithms can achieve an optimized solution, multiple iterations are carried out, resulting in a longer calculation time with a loss of the capability for real-time solving and a possibility of falling into the local optimal point or non-convergence, while the ability to avoid obstacles is not considered in many intelligent algorithms.…”

Section: Introductionmentioning

confidence: 99%

Variable Dimensional Scaling Method: A Novel Method for Path Planning and Inverse Kinematics

Long¹,

Yu²,

Zhou³

et al. 2022

Machines

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Traditional methods for solving the inverse kinematics of a hyper-redundant manipulator (HRM) can only plan the path of the end-effector with a complicated solving process, where obstacle avoidance is also not considered. To solve the above problems, a novel method for solving inverse kinematics of HRM is proposed in this paper: the variable dimension scaling method (VDSM), which can solve complex inverse kinematics while avoiding obstacles. Through this method, the path of the end-effector is scaled under a certain proportion and is adjusted depending on the position of the obstacle, which has good universality. The number of link angles changed is as small as possible in the process of achieving the end-effector moving along the desired path. With the redundancy of HRM, obstacle avoidance can be implemented in any environment by the proposed method. Through simulation and experiments in different environments, the above advantages of VDSM are verified.

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Printed Circuit Board Assembly Planning for Multi-Head Gantry SMT Machine Using Multi-Swarm and Discrete Firefly Algorithm

Cited by 13 publications

References 38 publications

Research and application of high precision chip mounter for optical module laser

Research and application of high precision chip mounter for optical module laser

Path Planning for Mount Robot Based on Improved Particle Swarm Optimization Algorithm

Variable Dimensional Scaling Method: A Novel Method for Path Planning and Inverse Kinematics

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