Optimal Joint Path Planning of a New Virtual-Linkage-Based Redundant Finishing Stage for Additive-Finishing Integrated Manufacturing

Author:

Yu Jiwon1,Jeon Haneul1,Jeong Hyungjin1,Lee Donghun1ORCID

Affiliation:

1. Mechanical Engineering Department, Soongsil University, Seoul 06978, Republic of Korea

Abstract

This paper describes the optimal path planning of a redundant finishing mechanism developed for joint space-based additive-finishing integrated manufacturing (AFM). The research motivation results from an inevitable one-sided layout of a finishing stage (FS) with regard to the additive stage (AS) in the AFM. These two stages share a 2-dof bed stage (BS), and the FS can lightly shave off the rough-surfaced 3D print on the bed. Since the FS located at the side of the AS cannot reach all the target points of the 3D print, the bed should be able to rotate the 3D print about the z-axis and translate it in the z-axis. As a result, the AS has 4-dof joints for 2P and 1P1R during the additive process with AS-BS, and FS has 4-dof and 2-dof integrated joints for 2P2R and 1P1R during the finishing process with FS-BS, respectively. For the kinematic modeling of the FS part and the BS, the virtual linkage connecting the bed frame origin and the FS’s joint frame for approaching the BS is considered to realize seamless kinematic redundancy. The minimum Euclidian norm of the joint velocity space is the objective function to find the optimal joint space solution for a given tool path. To confirm the feasibility of the developed joint path planning algorithm in the proposed FS-BS mechanism, layer-by-layer slicing of a given 3D print’s CAD model and tool path generation were performed. Then, the numerical simulations of the optimal joint path planning for some primitive 3D print geometries were conducted. As a result, we confirmed that the maximum and mean pose error in point-by-point only, with the developed optimal joint path planning algorithm, were less than 202 nm and 153 nm, respectively. Since precision and general machining accuracies in tool path generation are in the range of ±10 μm and 20 μm, the pose error in this study fully satisfies the industry requirements.

Funder

National Research Foundation of Korea

Institute of Information & communications Technology Planning & Evaluation

MSIT (Ministry of Science and ICT), Korea

Korea institute for Advancement of Technolog

Publisher

MDPI AG

Subject

General Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)

Reference23 articles.

1. Post processing methods used to improve surface finish of products which are manufactured by additive manufacturing technologies: A review;Kumbhar;J. Inst. Eng. India Ser. C,2018

2. Impact of surface roughness and porosity on lattice structures fabricated by additive manufacturing-A computational study;Jiang;Procedia Manuf.,2020

3. Hybrid additive and subtractive manufacturing processes and systems: A review;Grzesik;J. Mach. Eng.,2018

4. Hybrid manufacturing of metallic parts integrated additive and subtractive processes;Grzesik;Mechanik,2018

5. DMG MORI (2016, January 01). Lasertec 65 DED Hybrid. DMG MORI. Available online: https://de.dmgmori.com/produkte/maschinen/additive-manufacturing/pulverdueseverfahren/lasertec-65-ded-hybrid.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3