Automatic process planning of mold components with integration of feature recognition and group technology

Jong, Wen-Ren; Lai, Po-Jung; Chen, Yuwei; Ting, Yu-Hung

doi:10.1007/s00170-014-6627-4

Cited by 34 publications

(7 citation statements)

References 13 publications

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“…So far, many research results of process reuse have been widely used in manufacturing industry. Jong et al [12] proposed an automatic process planning method based on machining feature recognition and group technology. Firstly, the manufacturing features of parts are recognized, and then according to the basic attributes of parts (such as part type, material, etc.)…”

Section: Nc Process Reusementioning

confidence: 99%

Efficient NC process scheme generation method based on reusable macro and micro process fusion

Huang

et al. 2022

Int J Adv Manuf Technol

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Process reuse technology has been widely studied and applied in manufacturing industry. However, the current NC process reuse generally assumes that the micro process is compatible with the macro process, but in fact, the reusable processes from the similar local structures of multiple parts are usually difficult to be compatible with each other under the overall manufacturing requirements of the query parts, which leads to the fact that a large amount of user interactions are still required for modification and adjustment in practical engineering applications, so it is not significant to improve the design efficiency. Therefore, an efficient NC process scheme generation method based on reusable macro and micro process fusion is proposed in this paper. Firstly, according to the calculation of semantic distance of process design intention, the micro processes are mapped to the macro process to realize the fusion of the macro process and the micro process, and a compatibility credibility evaluation model is established to evaluate the compatibility of fusion results. Then, when the fusion result is credible, the machining areas corresponding to the process scheme are adjusted and optimized from the geometric level. The adjustment and optimization of machining areas mainly realize the integration of machining areas and the optimization of machining sequence. Finally, the effectiveness and feasibility of the proposed method are verified by the test of actual parts.

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Section: Nc Process Reusementioning

confidence: 99%

Efficient NC process scheme generation method based on reusable macro and micro process fusion

Huang

et al. 2022

Int J Adv Manuf Technol

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“…Fountas et al (2014) propose a group of manufacturing functions, such as the selection of raw materials, cutting tools, part support and positioning, for the design via CAD of aerospace structural parts where the products are unique, dissimilar, and one-of-a-kind. Jong et al (2015) have developed an automated CAPP that integrates CAD and CAM for the machining process of plastic injection mold components, of which the machining process is complex and continuously changing. Using feature recognition, the part design geometry features of CAD are converted into manufacturing features and then compared with the identified manufacturing features based on group technology conditions in order to automatically generate the manufacturing program.…”

Section: Special Topics In Process Engineering (State-of-the-art)mentioning

confidence: 99%

Operations, Logistics and Supply Chain Management

Zijm¹,

Klumpp²,

Regattieri

et al. 2019

Lecture Notes in Logistics

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of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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“…Feature recognition is to extract and recognize form features of a three-dimensional (3D) computer-aided design (CAD) part model. The feature recognition results are helpful to product designing, 1–3 process planning, 4–10 and numerical control (NC) programming. 11–17 Thus, it is regarded as the premier technic for the integrated representation of product lifecycle data.…”

Section: Introductionmentioning

confidence: 99%

“…11–17 Thus, it is regarded as the premier technic for the integrated representation of product lifecycle data. 18 With the popularization of digital manufacturing and intelligent manufacturing, feature recognition has been implemented in manufacturing reuse 19 and NC machining 13 of aircraft structural parts, automatic process planning of mold components 4 and V-bending, 8 and construction of 3D working procedure model. 9…”

Section: Introductionmentioning

confidence: 99%

An oriented feature extraction and recognition approach for concave-convex mixed interacting features in cast-then-machined parts

Wang

Zhang

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part B:

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Feature recognition is an important technology of computer-aided design/computer-aided engineering/computer-aided process planning/computer-aided manufacturing integration in cast-then-machined part manufacturing. Graph-based approach is one of the most popular feature recognition methods; however, it cannot still solve concave-convex mixed interacting feature recognition problem, which is a common problem in feature recognition of cast-then-machined parts. In this study, an oriented feature extraction and recognition approach is proposed for concave-convex mixed interacting features. The method first extracts predefined features directionally according to the rules generated from attributed adjacency graphs–based feature library and peels off them from part model layer by layer. Sub-features in an interacting feature are associated via hints and organized as a feature tree. The time cost is reduced to less than [Formula: see text] by eliminating subgraph isomorphism and matching operations. Oriented feature extraction and recognition approach recognizes non-freeform-surface features directionally regardless of the part structure. Hence, its application scope can be extended to multiple kinds of non-freeform-surface parts by customizing. Based on our findings, implementations on prismatic, plate, fork, axlebox, linkage, and cast-then-machined parts prove that the proposed approach is applicable on non-freeform-surface parts and effectively recognize concave-convex mixed interacting feature in various mechanical parts.

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Automatic process planning of mold components with integration of feature recognition and group technology

Cited by 34 publications

References 13 publications

Efficient NC process scheme generation method based on reusable macro and micro process fusion

Efficient NC process scheme generation method based on reusable macro and micro process fusion

Operations, Logistics and Supply Chain Management

An oriented feature extraction and recognition approach for concave-convex mixed interacting features in cast-then-machined parts

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