CMM feature accessibility and path generation

Lim, C.Y.H.; Menq, Chia-Hsiang

doi:10.1080/00207549408956955

Cited by 74 publications

(23 citation statements)

References 5 publications

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“…Three key elements, a CAD/CMM inspection planning module, a CAD-model based localisation algorithm, and a comparative analysis module are included in the system. Lim and Meng [7] used contact probes to obtain all feasible inspection orientations and the number of orientations. Finally, this method obtained an optimal orientation and collision-free inspection path.…”

Section: Review Of Caimentioning

confidence: 99%

Computer-aided inspection for substrate design

Tien

Tsai

2004

The International Journal of Advanced Manufacturing Technology

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Substrate design is one of the major tasks involved in packaging design. In current business practice, the circuits of a substrate design are mostly designed by professional designers and produced by suppliers. Due to manufacturing limitations, some features of the circuit need to be modified before manufacturing. The original design and the modified design must be compared in order to ensure the desired functions. However, the circuits of a substrate design are highly complex and embedded in several physical layers. This makes the comparison task difficult, even for experienced individuals.The aim of this research is to develop an effective computer-aided inspection approach to decrease the design cost and lead time for substrate design. Three procedures and a knowledge base are developed to identify, categorise, and compare the information extracted from a substrate design drawing. First a feature extraction procedure was developed to search the related information in the data exchange format (DXF) file. Important features such as width and position of traces and vias are extracted from the original and modified designs of a substrate and are classified into three categories. The proposed feature comparison procedure is then used to compare the classified features with the assistance of a pre-defined knowledge base. Finally, the difference between the original and modified designs is marked with diverse colours and restored in a new DXF file.

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Section: Review Of Caimentioning

confidence: 99%

Computer-aided inspection for substrate design

Tien

Tsai

2004

The International Journal of Advanced Manufacturing Technology

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“…The dynamic probe errors are a major factor in measuring machine accuracy at high speeds and fast probing as a result of high demand in shorter inspection times. It is widely reported that under high operational speeds, machine vibrations due to the effects of structural stiffness, elasticity and drive flexibility are problematic [4,5]. Many studies in the assessment of dynamic errors of CMMs are carried out and several solutions to compensate such errors are proposed [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Precision tracking control of a horizontal arm coordinate measuring machine in the presence of dynamic flexibilities

Özel

2004

Int J Adv Manuf Technol

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One of the major sources that affect measurement accuracy and limit the use of high motion speeds in coordinate measuring machines (CMM) is the position error. In fact, static and dynamic probe errors are more direct factors in measuring machine accuracy, but are not the subject of this research. However the accuracy of acquisition of component position errors using a CMM in motion is also of importance, hence the dynamics of a CMM need to be considered. Therefore, this research aims to model the dynamics of a horizontal arm CMM by considering drive flexibility at joints and evaluates the characteristics of the system for fine motion control purposes. Design of a precision tracking controller (PTC) to perform superior tracking for enhancing the measurement accuracy and the probing speed in providing less inspection time at high motion speeds is carried out. A dynamic model for the CMM is developed including drive flexibilities represented with lumped springs at the joints. Due to the non-collocated nature of the control scheme in the flexible CMM dynamics, a non-minimum phase system is observed in the proposed CMM model. Using the derived CMM model with joint flexibilities, tracking motion control simulations are conducted at different probing speeds for the cases where a PI controller and a feedback PTC are employed. A comparison of the PI controller with the feedback PTC is also performed. Results demonstrate that the effects of joint flexibilities on the contour error and probing speeds are significant and the PI controller is not capable of providing good accuracy during challenging tasks such as corner tracking. However, the simulation results indicated that by using the proposed feedback precision tracking controller, contour errors in corner tracking that are caused by joint flexibilities can be reduced effectively.T. Özel

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“…It also does not allow us to measure parts made of soft materials. The most popular contact-type measuring device is the CMM (Coordinate Measuring Machine), which has been widely used for industrial applications [2,8,9,10,11,12,13]. The noncontact-type measuring devices can capture a large amount of point data in a short time with relatively lower accuracy compared to that of contact-type devices.…”

Section: Introductionmentioning

confidence: 99%

Path planning of multi-patched freeform surfaces for laser scanning

Son

Kim

Lee

2003

The International Journal of Advanced Manufacturing Technology

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In this paper, a new method for scanning a complex surface model with multiple patches is proposed. In scanning of freeform-shaped models, it is difficult to generate a measuring plan by human intuition due to the complexity of the part. The developed method calculates the number of scans, scan direction, and scan path for a stripe-type laser scanner. The user can designate the surface patches that need to be scanned. In generating the scan plan, surface information is first extracted from the CAD model automatically. Other information such as, design knowledge, functionality and machine parameters are provided interactively. Based on this information, the original surface model is sampled in the u, v parameter domain and the sampled points are grouped using the view angle of the laser scanner. The scan direction is determined by calculating the global mean vector of the sampled points that belong to a group. The range of the view angle can be varied to enhance the quality of captured point data. The optical scan paths for each scan direction are calculated by projecting the sampled points onto a 2D plane. The optical constraints are also verified to guarantee the generated scan plan.

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CMM feature accessibility and path generation

Cited by 74 publications

References 5 publications

Computer-aided inspection for substrate design

Computer-aided inspection for substrate design

Precision tracking control of a horizontal arm coordinate measuring machine in the presence of dynamic flexibilities

Path planning of multi-patched freeform surfaces for laser scanning

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