A PLM-based automated inspection planning system for coordinate measuring machine

2006 ◽  
Author(s):  
Haibin Zhao ◽  
Junying Wang ◽  
Boxiong Wang ◽  
Jianmei Wang ◽  
Huacheng Chen
Keyword(s):  
Coordinate Measuring Machine ◽  
Planning System ◽  
Automated Inspection ◽  
Inspection Planning ◽  
Measuring Machine

scholarly journals A frame for a computer aided inspection planning system

2015 ◽  
Vol 4 (1) ◽  
pp. 125 ◽  
Author(s):  
Wilma Polini ◽  
Giovanni Moroni
Keyword(s):  
Measurement Techniques ◽  
Coordinate Measuring Machine ◽  
Planning System ◽  
Inspection Planning ◽  
Coordinate Measurement ◽  
Measurement Results ◽  
Measuring Machine ◽  
Set Up ◽  
Almost All ◽  
Computer Aided Inspection

Coordinate Measuring Machine (CMM) inspection planning is an activity performed by well-trained operators, but different measurement techniques, using the same data analysis algorithms yield in different measurement results. This is a well-recognized source of uncertainty in coordinate measurement. A CMM, provided with an automatic inspection planning (CAIP) system, permits to implement more accurate and efficient operating procedures and to fit higher quality assurance standards and tighter production timings.In this paper we present a frame of a CAIP system, able to deal with almost all the decisional stages of CMM inspection. Moreover, original approaches have been developed and presented in inspection feature selection, part set-up, probe configuration, and path planning.

scholarly journals Application of 3D CAD in the Design of Inspection and Planning System of Intelligent Three-coordinate Measuring Machine

2020 ◽  
Vol 18 (S3) ◽  
pp. 141-152
Author(s):  
Jin Guang ◽  
Fan Li
Keyword(s):  
Information Integration ◽  
Coordinate Measuring Machine ◽  
Planning System ◽  
Sampling Point ◽  
Inspection Planning ◽  
Point Distribution ◽  
General Surface ◽  
Sampling Points ◽  
Measuring Machine ◽  
Specific Implementation

Computer aided inspection planning based on CAD coordinate measuring machine is the basic key technology, which occupies a very important position in the quality system. Nowadays, the research of integration technology has made a lot of achievements, but the research on information integration of system and system lags far behind the information integration of machining. How to use the part information and measurement-related knowledge provided by the product model to automatically generate optimal testing procedures and testing instructions for use is the basic task of the oriented intelligent system. This paper aims at the development of intelligent CMM inspection planning system based on 3D, from the overall analysis and design of the system to the extraction of detection geometric information, sampling planning, detection path planning and automatic generation of quack measurement program and other related key technologies will be studied. This paper briefly analyzes the relevant factors that determine the number of sampling points and summarizes the point requirements for the distribution of sampling points, and in view of the shortcomings and limitations of various methods of sampling point distribution on the general surface, a sampling strategy with adaptive step size is proposed, which solves the problem of sampling planning on the general surface. In the specific implementation of sampling planning, it is divided into two ways: edge-based and face-based geometric element measurement and sampling. Considering the requirements of distribution points, specific sampling algorithms are designed respectively, focusing on the analysis of the differences between edges and faces.

scholarly journals Development of a Coordinate Measuring Machine—Based Inspection Planning System for Industry 4.0

2021 ◽  
Vol 11 (18) ◽  
pp. 8411
Author(s):  
Slavenko M. Stojadinovic ◽  
Vidosav D. Majstorovic ◽  
Adam Gąska ◽  
Jerzy Sładek ◽  
Numan M. Durakbasa
Keyword(s):  
Industry 4.0 ◽  
Production Efficiency ◽  
Coordinate Measuring Machine ◽  
Measurement Process ◽  
Planning System ◽  
Smart Manufacturing ◽  
Inspection Planning ◽  
New Paradigm ◽  
Measuring Machine ◽  
Measurement Verification

Industry 4.0 represents a new paradigm which creates new requirements in the area of manufacturing and manufacturing metrology such as to reduce the cost of product, flexibility, mass customization, quality of product, high level of digitalization, optimization, etc., all of which contribute to smart manufacturing and smart metrology systems. This paper presents a developed inspection planning system based on CMM as support of the smart metrology within Industry 4.0 or manufacturing metrology 4.0 (MM4.0). The system is based on the application of three AI techniques such as engineering ontology (EO), GA and ants colony optimization (ACO). The developed system consists of: the ontological knowledge base; the mathematical model for generating strategy of initial MP; the model of analysis and optimization of workpiece setups and probe configuration; the path simulation model in MatLab, PTC Creo and STEP-NC Machine software, and the model of optimization MP by applying ACO. The advantage of the model is its suitability for monitoring of the measurement process and digitalization of the measurement process planning, simulation carried out and measurement verification based on CMM, reduction of the preparatory measurement time as early as in the inspection planning phase and minimizing human involvement or human errors through intelligent planning, which directly influences increased production efficiency, competitiveness, and productivity of enterprises. The measuring experiment was performed using a machined prismatic workpiece (PW).

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 Virtual CMM Inspection Tool for Capturing Planning Strategies

2017 ◽  
Author(s):  
Dimitrios Anagnostakis ◽  
James Ritchie ◽  
Theodore Lim ◽  
Raymond Sung ◽  
Richard Dewar
Keyword(s):  
Motion Tracking ◽  
Coordinate Measuring Machine ◽  
Assembly Planning ◽  
Training Methods ◽  
Inspection Planning ◽  
Sources Of Knowledge ◽  
Challenging Tasks ◽  
Measuring Machine ◽  
Planning Strategies ◽  
Product Verification

One of the most challenging tasks throughout the development and manufacturing of a product is the capturing and formalization of engineering knowledge and expertise. In the past, many researchers have successfully proposed different techniques for capturing knowledge during the design, process and assembly planning of a product. However, few efforts have focused on applying knowledge capture to the task of product verification for Coordinate Measuring Machine (CMM) inspection; most of these are manual, obtrusive for the user and time consuming since the main sources of knowledge come from documentation such as handbooks, guides or interview transcripts. This paper describes a tool for the automated logging of a planner’s actions while carrying out an inspection planning task in a virtual CMM measurement environment. The tool involves a combination of 3D motion tracking and a post-processor to decipher the context strategy in the form of an inspection plan. Various representations of a captured strategy will benefit CMM operators by providing them a tool for: understanding planning strategies, better training methods for inexperienced users and producing more efficient part programs in a shorter time.

scholarly journals Path Planning and Setup Orientation for Automated Dimensional Inspection Using Coordinate Measuring Machines

2020 ◽  
Vol 2020 ◽  
pp. 1-17
Author(s):  
Osama Abdulhameed ◽  
Abdulrahman Al-Ahmari ◽  
Syed Hammad Mian ◽  
Mohamed K. Aboudaif
Keyword(s):  
Coordinate Measuring Machine ◽  
Fine Tuning ◽  
Machine Language ◽  
Inspection Planning ◽  
Suggested Approach ◽  
Inspection Plan ◽  
Inspection Process ◽  
Measuring Machine ◽  
Part Inspection ◽  
Artificial Neural Network Ann

Inspection planning is considered an essential practice in the manufacturing industries because it ensures enhanced product quality and productivity. A reasonable inspection plan, which can reduce inspection costs and achieve high customer satisfaction, is therefore very important in the production industry. Considerations such as preparations for part inspection, measuring machines, and their setups as well as the measurement path are described in an inspection plan which is subsequently translated into part inspection machine language. Therefore, the measurement of any component using a coordinate measuring machine (CMM) is the final step preceded by several other procedures, such as the preparation of the part setup and the generation of the probe path. Effective measurement of components using CMM can only be done if the preceding steps are properly optimized to automate the whole inspection process. This paper has proposed a method based on artificial intelligence techniques, namely, artificial neural network (ANN) and genetic algorithm (GA), for fine-tuning output from the different steps to achieve an efficient inspection plan. A case study to check and validate the suggested approach for producing effective inspection plans for CMMs is presented. A decrease of nearly 50% was observed in the travel path of the probe, whereas the CMM measurement time was reduced by almost 25% during the actual component measurement. The proposed method yielded the optimum part setup and the most appropriate measuring sequence for the part considered.

scholarly journals Automated Coordinate Measuring Machine Inspection Planning Knowledge Capture and Formalization

2018 ◽  
Vol 18 (3) ◽  
Author(s):  
Dimitrios Anagnostakis ◽  
James Ritchie ◽  
Theodore Lim ◽  
Raymond Sung ◽  
Richard Dewar
Keyword(s):  
Coordinate Measuring Machine ◽  
Inspection Planning ◽  
Motion Data ◽  
Training Aids ◽  
Embedded Knowledge ◽  
Inspection Strategy ◽  
Part Program ◽  
Measuring Machine ◽  
Planning Strategies ◽  
Rapid Generation

Capturing the strategy followed during a coordinate measuring machine (CMM) inspection planning session has been an extremely challenging issue due to the time-consuming nature of traditional methods, such as interviewing experts and technical documents data mining. This paper presents a methodology demonstrating how a motion capture-based system can facilitate direct and nonintrusive CMM operator logging for capturing planning strategies and representing in knowledge formats. With the use of recorded motion data, embedded knowledge and expertise can be captured automatically and formalized in various formats such as motion trajectory graphs, inspection plans, integrated definition (IDEF) model diagrams, and other representations. Additionally, a part program can be generated for driving a CMM to execute component measurement. The system's outputs can be used to help understand how a CMM inspection strategy is planned, as well as training aids for inexperienced operators and the rapid generation of part programs.

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