Development of Computer Aided Inspection Planning (CAIP) Application in on Machine Measurement Operation (OMM) Operations for Box Primitive Features: Generating Inspection Codes

2014 ◽  
Vol 660 ◽  
pp. 889-893 ◽  
Author(s):  
Muldani Hendrawan Yogi ◽  
Yuwana M. Yatna ◽  
Sri Raharno

The aims of this research is to develop a Computer Aided Inspection Planning (CAIP) system in OMM operations which has an ability to measure workpieces automatically at a machine tools based on drawing data issued by the design division. The information that can be used to build a CAIP system is a feature. Therefore, a feature reconstruction process is necessary based on the data STEP geometry information. The Feature types used in this research is a type of box primitive feature. A Probe, a measuring instrument, can be operated in CMM (Coordinate Measurement Machine) and CNC machine. A product measuring on CNC machine during or after machining process called OMM (On Machine Measurement) operation. As a result, measuring can be performed without moving the product from the machine. In this research, 5 Axis CNC machine with Heidenhain DMU150 iTNC530 controller is used.

2014 ◽  
Vol 660 ◽  
pp. 883-888 ◽  
Author(s):  
Muldani Hendrawan Yogi ◽  
Yuwana M. Yatna ◽  
Sri Raharno

The aims of this research is to build CAIP systems on OMM operation which have an ability to measure workpiece automatically based on drawing data from design division at a machine. The flow of information between each part becomes important as the design of the drawing data from design division to production division or quality control. CAIP system (Computer Aided Inspection Planning) is expected to ensure the flow of drawing information to quality control without any changed even though the amount of data that a lot. CAIP system use early drawing data from the design division. The type of drawing data which is used by each CAD software is STEP drawing data. STEP data consists of products information such as surface geometry, line, point, and direction of the vector surface. The information that can be used to build a CAIP system is a feature. Therefore, a feature reconstruction process is necessary based on the data STEP geometry information. Feature types which is used in this study are a type of box primitive feature. A Probe, a measuring instrument, can be operated in CMM (Coordinate Measurement Machine) and CNC machine. A product measuring on CNC machine during or after machining process called OMM (On Machine Measurement) operation. As a result, measuring can be performed without moving the product from the machine. In this research, 5 Axis CNC machine with Heidenhain DMU150 iTNC530 controller is used.


2010 ◽  
Vol 97-101 ◽  
pp. 4282-4286
Author(s):  
Shi Gang Wang ◽  
Yu Juan Wang ◽  
Yi Li Fu

With the development of digitalized manufacturing (DM), on-machine inspection (OMI) has become the key link of integrated quality system in DM. In DM, The detection and monitoring system chiefly dealing with kinds of parameters in machining process, taking on-line detection, analyzing the process quality information and carrying out corresponding quality assurance, so the quality of product may be assured and DM can be run in good condition. Therefore, the OMI technology of machining center based is researched. The framework of OMI and the hardware structure of special driving card for probe or tool (SDCPT) are described. Computer aided inspection planning (CAIP) is the integration bridge between CAD/CAM and computer aided inspection. A feature-based CAIP system for OMI is proposed to inspect the complicated mechanical parts efficiently during machining or after machining. The CAIP system is designed to produce an inspection process planning directly from CAD model. The prototype CAIP system includes the tolerance feature analysis, accessibility analysis, feature identification, measurement planning, and collision detection. The CAIP system can minimize the number of part setups and probe orientations and the inspection feature sequence.


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

Author(s):  
Sif Eddine Sadaoui ◽  
Charyar Mehdi-Souzani ◽  
Claire Lartigue

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.


2015 ◽  
Vol 4 (1) ◽  
pp. 125 ◽  
Author(s):  
Wilma Polini ◽  
Giovanni Moroni

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.


Author(s):  
Huaming Lee ◽  
Jon Sims Williams ◽  
James Tannock

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.


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

2014 ◽  
Vol 596 ◽  
pp. 83-89 ◽  
Author(s):  
Ya Miao ◽  
Kai He ◽  
Hai Tao Fang ◽  
Zhi Min Zhou ◽  
Ru Xu Du

Abstract. This paper designs a CAM system for a jewelry-making CNC machine. The CAM system not only provides a human-computer interface for setting machining parameters, but also can generate special NC programs automatically and realize the simulation for the machining process. In addition, the paper gives an efficient application for machining an ellipsoidal gold bead. The basic design of the jewelry-making CAM system and the experimental results are presented.


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