Reactive Process Planning: Incorporating Machining, Inspection, and Feedback

2009 ◽  
Author(s):  
Yaoyao F. Zhao ◽  
Xun W. Xu ◽  
Sheng Q. Xie
Keyword(s):  
Real Time ◽  
Process Planning ◽  
Data Model ◽  
Product Information ◽  
Machining Process ◽  
Planning System ◽  
Reactive Process ◽  
Inspection Process ◽  
Measurement Feedback ◽  
Machining Process Planning

Closed-Loop Manufacturing (CLM) techniques include machine tool self-checks, automated setups, tool measurement, in-process probing with process adjustment, on-machine final inspection, data collection and data analysis. All of these elements and more are utilized to collect data in a mostly automated fashion to subsequently correct and adjust undesired conditions that can affect part quality. Inspection process planning plays an essential part of CLM. As G&M codes that contains low-level information or vendor-specific bespoke routines is the primary programming language, inspection process planning is mostly isolated from machining process planning. With the development of new data model standards such as STEP and STEP-NC providing high-level product information for the entire manufacturing chain, it is conceivable that both machining and inspection process planning are considered hand-in-hand to generate optimal machining and inspection sequences with real-time measurement feedback for the CLM scenario. This paper introduces an reactive process planning system architecture that incorporates machining, inspection, and feedback. In order to provide real-time inspection feedback, On-Machine Measurement (OMM) is chosen to carry out inspection operations. Implementation of the proposed architecture has been partially carried out with newly developed data model and interpreter. A case study testified the feasibility of the proposed architecture.

An Integrated Process Planning System Architecture for Machining and On-Machine Inspection

2008 ◽  
Author(s):  
Yaoyao F. Zhao ◽  
Xun W. Xu ◽  
Sheng Q. Xie ◽  
Tom R. Kramer ◽  
Fred M. Proctor ◽  
...  
Keyword(s):  
Real Time ◽  
Process Planning ◽  
System Architecture ◽  
Data Model ◽  
Machining Process ◽  
Planning System ◽  
Integrated Process ◽  
Process Planning System ◽  
Inspection Process ◽  
Manufacturing Chain

Inspection is an essential part of the entire manufacturing chain providing measurement feedback to the process planning system. Fully automated machining requires automatic inspection process planning and real-time inspection results feedback. As inspection process planning is still based on G&M codes containing low-level information or vendor-specific bespoke routines, inspection process planning is mostly isolated from machining process planning. With the development of new data model standards STEP and STEP-NC providing high-level product information for the entire manufacturing chain, it is achievable to combine machining and inspection process planning to generate optimal machining and inspection sequences with real-time measurement results feedback. This paper introduces an integrated process planning system architecture for combined machining and inspection. In order to provide real-time inspection feedback, On-Machine Inspection (OMI) is chosen to carry out inspection operations. Implementation of the proposed architecture has been partially carried out with a newly developed data model and interpreter software. A case study was carried out to test the feasibility of the proposed architecture.

A hole-machining process planning system for marine engines

2013 ◽  
Vol 32 (1) ◽  
pp. 114-123 ◽  
Author(s):  
Cheol-Soo Lee ◽  
Jae-Hyun Lee ◽  
Dong-Soo Kim ◽  
Eun-Young Heo ◽  
Dong-Won Kim
Keyword(s):  
Process Planning ◽  
Machining Process ◽  
Planning System ◽  
Process Planning System ◽  
Marine Engines ◽  
Machining Process Planning ◽  
Hole Machining

Feature Extraction and Operation Sequencing for Machining on Mill-Turns

1997 ◽  
Author(s):  
Debaslsh Dutta ◽  
Yong Se Kim ◽  
Youngjin Kim ◽  
Eric Wang ◽  
Derek Yip-Hoi
Keyword(s):  
Process Planning ◽  
Product Information ◽  
Integrated System ◽  
Machining Process ◽  
Planning System ◽  
Operation Sequencing ◽  
Computer Aided Process Planning ◽  
Convex Decomposition ◽  
Reasoning System ◽  
The University

Abstract An integrated system to support both product and manufacturing process design should be such that (1) the part design can be evaluated and redesigned based on manufacturability analysis and (2) the manufacturing processes can be selected efficiently and flexibly exploiting product information provided by part design representations. In this paper, we describe the collaborative research of the University of Illinois at Urbana-Champaign (UIUC) and the University of Michigan (UM) in computer-aided process planning for mill-turn machining. The UIUC geometric reasoning system based on convex decomposition identifies the machining features and maps the negative feature volumes to machining process methods, and generates geometry-based machining precedence relations. The UM process planning system based on genetic algorithm determines machining process sequences and assignment to multiple spindles and turrets.

ONTOLOGICAL MACHINING PROCESS DATA MODELLING FOR POWERTRAIN PRODUCTION IN EXTENDED ENTERPRISE

2005 ◽  
Vol 04 (01) ◽  
pp. 69-82 ◽  
Author(s):  
JING CAI ◽  
MICHAEL WEYRICH ◽  
ULRICH BERGER
Keyword(s):  
Process Planning ◽  
Data Exchange ◽  
Machining Process ◽  
Planning System ◽  
Process Chain ◽  
Process Data ◽  
Digital Factory ◽  
Transfer Line ◽  
Feature Technology ◽  
Machining Process Planning

As a new CAx concept, Digital Factory points out digital design of product & virtual planning of production. In this context, feature technology builds up the entire CAx process chain in Digital Factory, and facilitates STEP based engineering data generation and exchange. The collaborative computer-aided machining process planning of a transfer line is an element in process chain of extended enterprises Automotive Engineering. In practice, it is an approach engaged by both OEMs and their long-term machine suppliers. Application of a CAD-based Digital Factory planning system to design a virtual transfer line needs planning standard data and exchange with supplier. This paper highlights STEP-referenced ontological data modeling approach in the standardized data exchange for collaborative machining process planning, discusses the aspects of its prospective application advantages in machining process planning by OEMs and suppliers for Powertrain production in Automotive Industry.

WEB-Based Process Planning System for Hydraulic Disk Brake

2009 ◽  
Vol 69-70 ◽  
pp. 570-574
Author(s):  
Shao Fei Jiang ◽  
Cong Da Lu
Keyword(s):  
Process Planning ◽  
Machining Process ◽  
Planning System ◽  
Assembly Process ◽  
Web Based ◽  
Assembly Process Planning ◽  
Disk Brake ◽  
Process Planning System ◽  
Machining Process Planning

Process planning system for hydraulic disk brake for motorcycle based on Microsoft .Net platform is presented. Two modes of process planning which called retrieved process and generated process are studied for assembly process planning and machining process planning. Then process planning system for hydraulic disk brake for motorcycle is developed base on Browse/Sever mode. An example of hydraulic disk brake shows validity of the system.

scholarly journals IPPS_R : a generative process planning system for rotational parts

2021 ◽  
Author(s):  
Yijing Cai
Keyword(s):  
Process Planning ◽  
Metal Cutting ◽  
Machining Process ◽  
Planning System ◽  
Relationship Matrix ◽  
Generative Process ◽  
Process Plans ◽  
Process Planning System ◽  
Rotational Parts ◽  
Machining Process Planning

An automated machining process planning system for rotational parts is designed, developed and implemented. The system is called IPPS_R for Intelligent Process Planning System for Rotational parts. The IPPS_R system is designed for generating process plans for manufacturing rotational parts using metal cutting operations. A generative approach is employed to determine process operations and sequences automatically. For each machining feature, based on the accuracy and surface quality requirements, a fuzzy logic approach is developed to generate machining operations. A method of ranking the machining priorities of the features according to the feature relationship matrix is developed for sequencing operations. Moreover, the heuristic search of process plans is achieved by minimizing the number of setups in a plan. Finally, the IPPS_R system with a user-friendly interface is implemented in Microsoft Visual C++ on a personal computer, utilizing Microsoft Foundation Class (MFC). Two sample parts are used to demonstrate applications of the IPPS_R system.

scholarly journals IPPS_R : a generative process planning system for rotational parts

2021 ◽  
Author(s):  
Yijing Cai
Keyword(s):  
Process Planning ◽  
Metal Cutting ◽  
Machining Process ◽  
Planning System ◽  
Relationship Matrix ◽  
Generative Process ◽  
Process Plans ◽  
Process Planning System ◽  
Rotational Parts ◽  
Machining Process Planning

An automated machining process planning system for rotational parts is designed, developed and implemented. The system is called IPPS_R for Intelligent Process Planning System for Rotational parts. The IPPS_R system is designed for generating process plans for manufacturing rotational parts using metal cutting operations. A generative approach is employed to determine process operations and sequences automatically. For each machining feature, based on the accuracy and surface quality requirements, a fuzzy logic approach is developed to generate machining operations. A method of ranking the machining priorities of the features according to the feature relationship matrix is developed for sequencing operations. Moreover, the heuristic search of process plans is achieved by minimizing the number of setups in a plan. Finally, the IPPS_R system with a user-friendly interface is implemented in Microsoft Visual C++ on a personal computer, utilizing Microsoft Foundation Class (MFC). Two sample parts are used to demonstrate applications of the IPPS_R system.

Graph-Based Feature Recognition and Combination Method for Automatic Process Planning System

2020 ◽  
Author(s):  
Da Xie ◽  
Jiang Zhu ◽  
Tomohisa Tanaka
Keyword(s):  
Process Planning ◽  
Feature Recognition ◽  
Numerical Control ◽  
Machining Process ◽  
Combination Method ◽  
Planning System ◽  
Feature Combination ◽  
Computer Aided ◽  
Machining Process Planning ◽  
Manufacturing Features

Abstract Generating the Numerical Control (NC) tool path for machining a complex shaped component is highly dependent on the proficiency of a Computer-Aided Manufacturing (CAM) programmer in manufacturing field, although the CAM systems now are highly integrated. A Computer-Aided Process Planning (CAPP) system, which can automatically extract the manufacturing features from the Computer-Aided Design (CAD) model and generate the machining process planning, has been expected for a long time. In this research, a graph-based CAPP system was proposed. It mainly includes four modules, data conversion module, feature classification module, feature combination module and process planning module. The first two modules claim a graph-based feature recognition method, output the recognized manufacturing features which are classified into four classes and defined as specific types. The feature combination module generates different paths to combine manufacturing features from a goal model into raw material shape by four kinds of combination methods corresponding to the four classes. Finally, the process planning module will give a cost estimation of all those paths with the consideration of manufacturing resources and time cost. A relatively optimized machining method and machining sequence will be generated as the output of this proposed system.

Automatic Tolerance Analysis for Assessing Manufacturing Errors in Machining Plans

2017 ◽  
Vol 139 (4) ◽  
Author(s):  
Wentao Fu ◽  
Saigopal Nelaturi
Keyword(s):  
Process Planning ◽  
Degrees Of Freedom ◽  
Tolerance Analysis ◽  
Machining Process ◽  
Planning System ◽  
Original Design ◽  
Novel Approach ◽  
Process Planning System ◽  
Manufacturing Errors ◽  
Machining Process Planning

In machining process planning, it is critical to ensure that the part created following the manufacturing steps complies with the designated design tolerances. However, the challenge is that manufacturing errors are stochastic in nature and are introduced at almost every step of executing a plan, for example, due to inaccuracy of tooling, misalignment of location, etc. Furthermore, these errors accumulate or “stack up” as the machining process progresses to inevitably produce a part that varies from the original design. The resulting variations should be within prescribed design tolerances for the manufactured part to be acceptable. In this work, we present a novel approach for assessing the manufacturing errors by representing variations of nominal features with transformations that are defined in terms of extents of the features' degrees-of-freedom (DOFs) within their design and manufacturing tolerance zones (MTZs). We show how the manufacturing errors stackup can be effectively represented by the composition and intersection of these transformations. Several examples representing scenarios of different complexities are demonstrated to show the applicability of our approach in assessing the influence of manufacturing errors on the design tolerances following a machining plan. Discussions of our approach are provided to address concerns with the accuracy and efficiency as well as to disclose the potential of our approach to enable a tolerance-aware process planning system.

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