A part-feature recognition system for rotational parts—non-turning features

Abstract This paper presents MEDIATOR, a feature recognition system which is designed to be maintainable and extensible to families of related manufacturing processes. A problem in many feature recognition systems is that they are difficult to maintain. One of the reasons may be because they depend on use of a library of feature-types which are difficult to update when the manufacturing processes change due to changes in the manufacturing equipment. The approach taken by MEDIATOR is based on the idea that the properties of the manufacturing equipment are what enable manufacturable shapes to be produced in a part. MEDIATOR’S method for identifying features uses a description of the manufacturing equipment to simultaneously identify manufacturable volumes (i.e. features) and methods for manufacturing those volumes. Maintenance of the system is simplified because only the description of the equipment needs to be updated in order to update the features identified by the system.

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A Feature Recognition System Using Geometric Reasoning

Procedia CIRP ◽

10.1016/j.procir.2014.06.138 ◽

2014 ◽

Vol 18 ◽

pp. 238-243 ◽

Cited By ~ 7

Author(s):

E.S. Abouel Nasr ◽

A.A. Khan ◽

A.M. Alahmari ◽

H.M.A. Hussein

Keyword(s):

Feature Recognition ◽

Recognition System ◽

Geometric Reasoning

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A hybrid machining Feature Recognition system

International Journal of Manufacturing Research ◽

10.1504/ijmr.2009.026578 ◽

2009 ◽

Vol 4 (3) ◽

pp. 343 ◽

Cited By ~ 5

Author(s):

A.K. Verma ◽

Sunil Rajotia

Keyword(s):

Feature Recognition ◽

Recognition System ◽

Hybrid Machining ◽

Machining Feature

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Agricultural Transfer Labor Wage Platform Based on Image Content Feature Retrieval and Internet of Things

10.21203/rs.3.rs-151212/v1 ◽

2021 ◽

Author(s):

Ying Wu ◽

Jikun Liu

Keyword(s):

Feature Recognition ◽

Positional Information ◽

Recognition System ◽

Accurate Information ◽

New Era ◽

Testing Experiment ◽

Global Vector ◽

Information Recognition ◽

Content Feature

Abstract Quick and accurate information identification of agricultural transfer labor wage platform is an essential function of labor intelligent management in the new era. Based on the content feature retrieval, this study constructs an artificial intelligence identity information recognition system and links the system to the salary platform. Simultaneously, this study uses the feature recognition to extract database information and realize intelligent salary assessment. In addition, the deep learning features used in this study are based on the positional information of the sift features and are finally calculated by the activation map to obtain a global vector of an image. Finally, this study design testing experiment to verify the performance of the algorithm. Through the output of the feature picture, it can be seen that the research algorithm has certain effects and can be used as a follow-up system practice.

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A Part Feature Description Model for Process Planning of Rotational Parts

15th Design Automation Conference: Volume 1 — Computer-Aided and Computational Design ◽

10.1115/detc1989-0023 ◽

1989 ◽

Author(s):

H.-M. Rho ◽

D. Sheen

Keyword(s):

Process Planning ◽

Machine Tools ◽

Computer Software ◽

Technical Information ◽

Surface Shape ◽

Machining Processes ◽

Feature Description ◽

Rotational Parts ◽

Machining Operations ◽

Part Feature

Abstract This study documents the development of the Automated Process And Sequence Selector (APASS) model and associated computer software. APASS can be effectively used to automate the selection of machine tools for rotational parts during the process planning procedure for these parts. The APASS model bases its machine tool decisions on part feature description, such as surface shape, technical information! and part header information. Data on the surface shape are transformed automatically based on conversion tables to output suggested machining processes and machine tools. These processes are further filtered by technical information contained within the master and machine files. The ultimate APASS output is a sequence of machining operations based on both the geometrical and dimensional tolerances of the part surfaces and the machine availability. The program has been written in MS PASCAL and currently run on IBM PC/AT compatible.

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OSCAP: An Environment for Manufacturing Planning of Mechanical Products

Volume 4: Design for Manufacturing Conference ◽

10.1115/detc97/dfm-4334 ◽

1997 ◽

Author(s):

Zhi-Xin Yang ◽

Ajay Joneja

Keyword(s):

Process Planning ◽

Feature Recognition ◽

Recognition System ◽

Open Architecture ◽

Operation Sequencing ◽

Computer Aided Process Planning ◽

Mechanical Parts ◽

Manufacturing Planning ◽

Knowledge Based ◽

Mechanical Products

Abstract This paper describes an open-architecture system for computer-aided process planning called OSCAP. The system is different in architecture from traditional integrated process planning systems, since it is designed specifically to integrate with existing partial planning software with little effort. It does provide all functions of design and process planning for machining of mechanical parts on 3-axis machining centers. Special features of the system include a sophisticated feature recognition system, an optimal machining planner, automated fixture synthesis, setup planning with operation sequencing, and a knowledge based system organizer called the OSCAP core which orchestrates the functioning of all modules. The system can be arbitrarily extended or collapsed by adding or removing functional modules.

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