CATIP: A Computer-Aided Tactile Inspection Planning system

1999 ◽  
Vol 37 (2) ◽  
pp. 447-465 ◽  
Author(s):  
A. Limaiem
Keyword(s):  
Planning System ◽  
Inspection Planning ◽  
Computer Aided

A computer-aided inspection planning system for on-machine measurement — part I: Global inspection planning —

2004 ◽  
Vol 18 (8) ◽  
pp. 1349-1357 ◽  
Author(s):  
Honghee Lee ◽  
Myeong-Woo Cho ◽  
Gil-Sang Yoon ◽  
Jin-Hwa Choi
Keyword(s):  
Planning System ◽  
Inspection Planning ◽  
Computer Aided ◽  
Computer Aided Inspection

Knowledge-based inspection planning

1992 ◽  
Vol 6 (3) ◽  
pp. 149-162 ◽  
Author(s):  
Huaming Lee ◽  
Jon Sims Williams ◽  
James Tannock
Keyword(s):  
Planning System ◽  
Automated Inspection ◽  
Inspection Planning ◽  
Knowledge Based ◽  
Computer Aided ◽  
Computer Aided Inspection

Inspection planning is a process of reasoning about inspection activities. As a result, a sequence of inspection actions is formulated, which, when performed, will achieve the desired measurements. In manufacturing, automated inspection technologies, such as Computer-Aided Inspection (CAI) or Co-ordinate Measuring Machines (CMMs), will be facilitated by inspection planning. Inspection planning involves the following four aspects: representation of inspection features; process formalization; modeling of inspection activities; and, finally, plan synthesis. This paper discusses an approach to knowledge-based inspection planning. Accordingly, a prototype inspection planning system has been developed, which is also described in this paper.

A computer-aided inspection planning system for on-machine measurement — Part II: Local inspection planning —

2004 ◽  
Vol 18 (8) ◽  
pp. 1358-1367 ◽  
Author(s):  
Myeong-Woo Cho ◽  
Honghee Lee ◽  
Gil-Sang Yoon ◽  
Jin-Hwa Choi
Keyword(s):  
Planning System ◽  
Inspection Planning ◽  
Computer Aided ◽  
Computer Aided Inspection

Intelligent Inspection Planning and Computer Aided Inspection

1993 ◽  
Vol 207 (2) ◽  
pp. 99-104 ◽  
Author(s):  
J D T Tannock ◽  
H Lee ◽  
D R Cox ◽  
J H Sims Williams
Keyword(s):  
Process Model ◽  
Information Storage ◽  
Planning System ◽  
Shop Floor ◽  
Inspection Planning ◽  
Computer Aided ◽  
University Of Bristol ◽  
The University ◽  
Computer Aided Inspection ◽  
And Control

Quality inspection is the source of vital information for business control and improvement in manufacturing. This paper describes research at the University of Bristol, in collaboration with Rolls-Royce plc, to develop automated inspection planning and computer aided inspection applications. The inspection planning system involves the representation of inspection features and the manufacturing process model, together with an automated planning mechanism driven by rule-based plan reasoning. The shop-floor computer aided inspection workstation uses hand-held instruments interfaced to a computer, and provides flexible, interactive assistance for the dimensional inspection task. Batch and component traceability and control, together with a range of quality information storage and reporting functions, are provided.

Computer-Aided Inspection Planning: A Multisensor High-Level Inspection Planning Strategy

2019 ◽  
Vol 19 (2) ◽  
Author(s):  
Sif Eddine Sadaoui ◽  
Charyar Mehdi-Souzani ◽  
Claire Lartigue
Keyword(s):  
Computer Aided Design ◽  
Main Concern ◽  
Laser Sensor ◽  
Inspection Planning ◽  
Research Attention ◽  
Computer Aided ◽  
Measuring Machine ◽  
High Level ◽  
Computer Aided Inspection ◽  
Touch Probe

Computer-aided inspection planning (CAIP) has gained significant research attention in the last years. So far, most CAIP systems have focused on the use of a touch probe mounted on a coordinate measuring machine (CMM). This article investigates multisensor measurement aiming to perform automatic and efficient inspection plans. High-level inspection planning, which deals with sequencing of measuring operations, is the main concern of inspection planning. This paper presents an automatic approach to generate inspection sequences by combining laser sensor and touch probe, and by giving preference to the measurement using the laser sensor if quality requirements are satisfied. The proposed approach consists of three steps. In the first step, recognition of inspection data from the computer-aided design (CAD) part model is carried out based on the concept of inspection feature (IF), and the extracted information is stored in a database. In the second step, a list of privileged scanner orientations is proposed by analyzing the accessibility of both sensors. In the third step, a sequence of operations is generated iteratively. For a given scanner orientation, the ability of the laser sensor is assessed according to an original process based on fuzzy logic model. If the laser sensor does not meet the ability requirements, touch probe ability is assessed. The proposed approach is implemented and tested on a part defined by its CAD model and specifications.

Tool Selection and Path Control for Automated Posterior Teeth Coronal Canal Treatment Preparation

2004 ◽  
Author(s):  
J. Dong ◽  
S. Y. Hong ◽  
G. Hasselgren
Keyword(s):  
Process Planning ◽  
Root Canal ◽  
Endodontic Treatment ◽  
Planning System ◽  
Tool Selection ◽  
Treatment Procedure ◽  
Posterior Teeth ◽  
Geometrical Characteristics ◽  
Path Control ◽  
Computer Aided

This paper represents a part of research plan of “Advanced Endodontic Technology Development.” In order to aid endodontic treatment a 3-D computer model of root canals has been created which shows the geometrical characteristics. The extent of work needed for root canal treatment is obtained from this 3-D model. The objective of this paper is to convert the geometrical characteristics into automatic treatment procedure planning. This computer-aided process planning for endodontic treatment determines tool selection and process method. It also calculates tool path and optimum tool movement distance. The output of this planning system is a numerical controlled program. Because of paper size limitation, only tool selection and path control during coronal canal treatment preparation for posterior teeth are discussed in the paper. The computer-aided treatment procedure planning system provides transformation from a 3-D canal model to a machine-controlled program that will yield a treated root canal ready for filling. It serves as a bridge between design (3-D canal model) and manufacturing (canal treatment). Unlike conventional methods for root canal treatment, the computer-aided treatment process planning system emphasizes a non-destructive internal tooth geometry examination and less invasive access preparation.

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