Particle swarm optimisation (PSO)-based tool path planning for 5-axis flank milling accelerated by graphics processing unit (GPU)
نویسندگان
چکیده
This article may be used for research, teaching and private study purposes. Any substantial or systematic reproduction, redistribution , reselling , loan, sub-licensing, systematic supply or distribution in any form to anyone is expressly forbidden. The publisher does not give any warranty express or implied or make any representation that the contents will be complete or accurate or up to date. The accuracy of any instructions, formulae and drug doses should be independently verified with primary sources. The publisher shall not be liable for any loss, actions, claims, proceedings, demand or costs or damages whatsoever or howsoever caused arising directly or indirectly in connection with or arising out of the use of this material. Multi-axis machining offers higher machining efficiency and superior shaping capability compared to 3-axis machining. Machining error control is a critical issue in 5-axis flank milling of complex geometries and there is still a lack of solutions. Previous studies have shown that optimisation-based tool path planning is a feasible approach to reduction of machining error. However, the error estimation is time-consuming in the optimisation process, thus limiting the practicality of this approach. In this work, we apply graphics processing unit (GPU) computing technology to solve this problem. A particle swarm optimisation (PSO)-based optimisation scheme is developed to generate a series of cutter locations (CLs) that produce a minimised error on the machined surface. The error amount induced by each CL is simultaneously calculated by the parallel processing units of GPU. The PSO search process driven by the aggregated result is effectively accelerated. Test results show that our approach outperforms previous optimisation methods in both solution quality and computation efficiency. This work demonstrates a novel application of GPU on Computer Aided Manufacturing/Computer Numerical Control. 1. Introduction 5-axis Computer Numerical Control (CNC) machining technology has received much attention from industry since the late 90s. It is commonly used in the manufacture of aerospace, automobile, energy, and mold parts. This machining operation provides higher productivity and better shaping capability over traditional 3-axis machining (Heo et al. 2008). There are mainly two milling methods in 5-axis machining. The cutting edges near the end of a cutter perform material removal in point milling. The cylindrical part of a cutter does the cutting in flank milling (Choi et al. 1993). Tool path planning is a critical issue in most 5-axis machining operations. First, the tool must be properly posed in 3D space with …
منابع مشابه
Improving optimization of tool path planning in 5-axis flank milling using advanced PSO algorithms
This paper studies optimization of tool path planning in 5-axis flank milling of ruled surfaces using advanced Particle Swarm Optimization (PSO) methods with machining error as an objective. We enlarge the solution space in the optimization by relaxing the constraint imposed by previous studies that the cutter must make contact with the boundary curves. Advanced Particle Swarm Optimization (APS...
متن کاملParallel Implementation of Particle Swarm Optimization Variants Using Graphics Processing Unit Platform
There are different variants of Particle Swarm Optimization (PSO) algorithm such as Adaptive Particle Swarm Optimization (APSO) and Particle Swarm Optimization with an Aging Leader and Challengers (ALC-PSO). These algorithms improve the performance of PSO in terms of finding the best solution and accelerating the convergence speed. However, these algorithms are computationally intensive. The go...
متن کاملOptimization of Tool Path Planning in 5-Axis Flank Milling of Ruled Surfaces with Improved PSO
5-Axis machining has been widely used in manufacturing of complex ruled geometries in automobile, aerospace, energy, and mould industries. Compared with traditional 3-axis machining, this machining operation offers better shaping capability and productivity with additional degrees of freedom in the tool motion. Tool path planning is a challenging task in most 5-axis machining operations, with t...
متن کاملGeneration of reciprocating tool motion in 5-axis flank milling based on particle swarm optimization
This paper proposes a novel method for generation of optimized tool path in 5-axis flank milling of ruled surfaces based on Particle Swarm Optimization (PSO). The 3D geometric problem, tool path generation, is transformed into a mathematical programming task with the machined surface error as the objective function in the optimization. This approach overcomes the limitation of greedy planning m...
متن کاملReal-time multiview human pose tracking using graphics processing unit-accelerated particle swarm optimization
This paper describes how to achieve real-time tracking of 3D human motion using multiview images and graphics processing unit (GPU)-accelerated particle swarm optimization. The tracking involves configuring the 3D human model in the pose described by each particle and then rasterizing it in each 2D plane. The Compute Unified Device Architecture threads rasterize the columns of the triangles and...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Int. J. Computer Integrated Manufacturing
دوره 24 شماره
صفحات -
تاریخ انتشار 2011