A Critical Review of Multi-hole Drilling Path Optimization

Dewil, Reginald; Küçükoğlu, İlker; Luteyn, Corrinne; Cattrysse, Dirk

doi:10.1007/s11831-018-9251-x

Cited by 27 publications

(12 citation statements)

References 45 publications

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“…If the distances between the cities differ depending on the movement direction, formulation is asymmetric, and otherwise it is symmetric. The set of constraints in (3) ensures that the tool visits each hole and constraints in (4) ensure that the tool leaves every hole [1].…”

Section: Proposed Modelmentioning

confidence: 99%

“…TSP solved by the nearest neighborhood method is one of the most studied topics in the sequencing problems with a considerable portion of 79% [1]. In recent years, hybrid heuristic models emerge as having great potential in optimization techniques.…”

Section: Future Workmentioning

confidence: 99%

“…Many researchers have used the Travelling Salesman Problem (TSP) as an efficient strategy for sequencing problems in the field of manufacturing. As reported by Dewil et al [1], 79% of studies applied the TSP model to solve the optimum path in drilling. The aim of the TSP model is to minimize the length of the movement path between points, which may be holes or welds [2].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Novel Method for Achieving Minimum Distance Collision-free Tool Path for Drilling

Khodabakhshi¹,

Hosseini²,

Ghandehariun³

2020

Progress in Canadian Mechanical Engineering. Volume 3

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In recent years, many researchers have studied drilling tool path generation. Tool travelling time is a major portion of overall manufacturing time particularly in large scale items to be drilled. Nowadays, tool path is selected from a set of regular tool paths offered in CAM systems. These tool paths are mostly far from being the optimum path. In this paper, a new Travelling Salesman Problem (TSP) is utilized for generating a safe tool path in drilling processes. The developed optimization model can handle the objective function under multiple constraints, namely, returning to the tool origin rather than the initial hole to be drilled, considering all workpiece dimensions/corners for the initial position of the drill bit, as well as an obstacle constraint to generate a collision free trajectory. Performance of the proposed model is obtained for different initial tool positions on all corners of the workpiece. The results prove that the model can solve the problem in a timely manner and is able to generate an optimum safe path for tool traverse.

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Section: Proposed Modelmentioning

confidence: 99%

Section: Future Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Novel Method for Achieving Minimum Distance Collision-free Tool Path for Drilling

Khodabakhshi¹,

Hosseini²,

Ghandehariun³

2020

Progress in Canadian Mechanical Engineering. Volume 3

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show abstract

“…The PSO algorithm has similarity with bird flocking, fish schooling or the sociological behavior of a group of people. The PSO algorithm has been effectively used to solve nonlinear optimization problems [35]. In PSO, the population of the solution is known as the swarm, which is composed of a number of agents called particles moving around the search space to look for the best solution.…”

Section: Particle Swarm Optimization Algorithmmentioning

confidence: 99%

Modeling and evolutionary computation on drilling of carbon fiber-reinforced polymer nanocomposite: an integrated approach using RSM based PSO

Vijayan

Rajmohan

2019

J Braz. Soc. Mech. Sci. Eng.

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Among the various classifications of fiber-reinforced polymer composites, carbon fiber-reinforced plastic (CFRP) composite materials have great potential in aerospace, automobile and marine industries. Drilling is a common machining process of CFRP composites. Surface delamination, tearing, abrasion, denting, cutting of fibers, formation of voids, fiber bending and pullout, etc. are significant problems that occur in the drilling of CFRP composites, among which surface delamination is identified as a critical issue. By optimizing the drilling parameters, the effect of delamination can be minimized, resulting in good quality holes. The drilling process involves several critical process parameters. Therefore, achieving accurate holes during the process is extremely difficult. Three significant drilling process parameters were considered in the present investigation aimed at achieving an optimum drilling response: the thrust force and entry and exit delamination factors. An integrated response surface methodology-based particle swarm algorithm was used to obtain optimal drilling parameters. The obtained optimal settings for CFRP drilling are a drilling speed of 1100 rpm, a feed rate of 5 mm/rev, 5% CNTs and a 110° point angle. The high feed rate increases the thrust force and entry and exit delamination factors in the drilling of fabricated hybrid nano-CNT/CFRP composites.

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“…This problem is studied in other machining operations as well, because optimizing the process has the potential to minimize the financial and environmental costs of producing a part. For instance, in a multi-hole drilling process [10], most of the total time is employed in tool movement and switching. Thus, tool-path optimization is important in cost minimization.…”

Section: Introductionmentioning

confidence: 99%

Tool-Path Problem in Direct Energy Deposition Metal-Additive Manufacturing: Sequence Strategy Generation

et al. 2020

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The tool-path problem has been extensively studied in manufacturing technologies, as it has a considerable impact on production time. Additive manufacturing is one of these technologies; it takes time to fabricate parts, so the selection of optimal tool-paths is critical. This research analyzes the tool-path problem in the direct energy deposition technology; it introduces the main processes, and analyzes the characteristics of tool-path problem. It explains the approaches applied in the literature to solve the problem; as these are mainly geometric approximations, they are far from optimal. Based on this analysis, this paper introduces a mathematical framework for direct energy deposition and a novel problem called sequence strategy generation. Finally, it solves the problem using a benchmark for several different parts. The results reveal that the approach can be applied to parts with different characteristics, and the solution to the sequence strategy problem can be used to generate tool-paths. INDEX TERMS Additive manufacturing, direct energy deposition, multi-objective optimization, tool-path generation.

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A Critical Review of Multi-hole Drilling Path Optimization

Cited by 27 publications

References 45 publications

A Novel Method for Achieving Minimum Distance Collision-free Tool Path for Drilling

A Novel Method for Achieving Minimum Distance Collision-free Tool Path for Drilling

Modeling and evolutionary computation on drilling of carbon fiber-reinforced polymer nanocomposite: an integrated approach using RSM based PSO

Tool-Path Problem in Direct Energy Deposition Metal-Additive Manufacturing: Sequence Strategy Generation

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