scholarly journals A Study of Process Planning based on Machining Process Modeling. (1st Report). Proposal of Operating Step and Working Tool base on Form-Shaping Function.

2001 ◽  
Vol 67 (12) ◽  
pp. 1956-1960
Author(s):  
Fumiki TANAKA ◽  
Naosuke TOYAMA ◽  
Takeshi KISHINAMI
Keyword(s):  
Process Planning ◽  
Process Modeling ◽  
Machining Process

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.

Overview of a Distributed Process Planning Approach Targeting Manufacturing Uncertainty

2006 ◽  
Author(s):  
Lihui Wang ◽  
Ningxu Cai ◽  
Hsin-Yung Feng
Keyword(s):  
Process Planning ◽  
Job Shop ◽  
Layer Structure ◽  
Dynamic Decision Making ◽  
Machining Process ◽  
Operation Planning ◽  
Planning Approach ◽  
Job Shop Operations ◽  
Function Blocks ◽  
Distributed Process

This paper presents an overview of our DPP (distributed process planning) approach, covering DPP concept, generic machining process sequencing using enriched machining features, process plan encapsulation in function blocks, and process monitoring enabled by the function blocks. A two-layer structure of Supervisory Planning and Operation Planning is proposed in DPP to separate generic data from machine-specific ones. The supervisory planning is only performed once, in advance, at shop level, whereas the operation planning is carried out at runtime at machine level. This dynamic decision-making is facilitated by a set of resource-driven algorithms embedded in the function blocks. The internal structures of typical function blocks are also introduced in the paper. The DPP approach and algorithms are further verified through a case study before drawing conclusions. It is expected that the new approach can largely enhance the dynamism of fluctuating job shop operations.

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