Development of auto defect classification system on porosity powder metallurgy products

Fan, Kuang‐Chao; Chen, Shou-Hang; Chen, Jhih-Yuan; Liao, Wei-Bor

doi:10.1016/j.ndteint.2010.04.005

Cited by 25 publications

(12 citation statements)

References 22 publications

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“…The lighting technique is essential for the automated assembly system and especially while measuring the sizes or positioning the elements. 19 Improper lighting creates a noisy image and ensures that thresholding is more critical and thus results in inherent measurement uncertainties. Figure 6 shows three different lighting types, namely, front lighting (i.e.…”

Section: Lighting System and Image Processingmentioning

confidence: 99%

Machine vision based in-process light-emitting diode chip mounting system

Chen

2018

Measurement and Control

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Background: In this study, a machine vision–based method was developed for automated in-process light-emitting diode chip mounting lines with position uncertainty. In order to place the tiny light-emitting diode chips on the pattern of a printed circuit board, a highly accurate mounting process is achieved with online feedback of the visual assistance. Methods: The system consists of a charge-coupled device camera, a six-axis robot arm, and a delta robot. The lighting system is a critical point for the in-process machine vision problem. Hence, designing the optimal lighting solution is one of the most difficult parts of a machine vision system, and several lighting techniques and experiments are examined in this study. In order to commence the mounting process, the light-emitting diode chip targets inside the camera field were identified and used to guide the delta robot to the grabbing zone based on the calibrated homography transformation. Efforts have been focused on the field of machine vision–based feature extraction of the chip pins and the holes on the printed circuit board. The correspondence of each other is determined by the position of the chip pins and the printed circuit board circuit pattern. The image acquisition is achieved directly online in real time. The image analysis algorithm must be sufficiently fast to follow the production rate. In order to compensate for the uncertainty of the light-emitting diode chip mounting process, a visual feedback strategy in conjunction with an uncertainty compensation strategy is employed. Results: Finally, the light-emitting diode chip was automatically grabbed and accurately placed at the desired positions. Conclusion: On-line and off-line experiments were conducted to investigate the performance of the vision system with respect to detecting and mounting light-emitting diode chips.

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Section: Lighting System and Image Processingmentioning

confidence: 99%

Machine vision based in-process light-emitting diode chip mounting system

Chen

2018

Measurement and Control

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“…Existing fluorescent magnetic particle testing methods are mainly carried out by workers handheld devices, which have problems of low efficiency, inability to save and manage data, and operation safety. Therefore, combining wall-climbing robot technology and the fluorescent magnetic particle testing technology, designing a detection robot that can replace manual operations has become the key to speeding up equipment replacement and process upgrade in the field of ship inspection and repair, and is a research hotspot in robot technology [7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Optimization Design and Flexible Detection Method of Wall-Climbing Robot System with Multiple Sensors Integration for Magnetic Particle Testing

Zhang

et al. 2020

Sensors

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Weld detection is vital to the quality of ship construction and navigation safety, and numerous detection robots have been developed and widely applied. Focusing on the current bottleneck of robot safety, efficiency, and intelligent detection, this paper developed a wall-climbing robot that integrates multiple sensors and uses fluorescent magnetic powder for nondestructive testing. We designed a moving mechanism that can safely move on a curved surface and a serial-parallel hybrid flexible detection mechanism that incorporates a force sensor to solve the robot’s safe adsorption and a flexible detection of the curved surface to complete the flaw detection operation. We optimized the system structure and improved the overall performance of the robot by establishing a unified mechanical model for different operating conditions. Based on the collected sensor information, a multi-degree of freedom component collaborative flexible detection method with a standard detecting process was developed to complete efficient, high-quality detection. Results showed that the developed wall-climbing robot can move safely and steadily on the complex facade and can complete the flaw detection of wall welds.

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“…Annual sales for PM parts in the world exceed 30 billion Euros (Turo et al, 2013;Apelian et al,2015). The PM method's future in the automotive sector is directly related to its more complex and precise part production capability like in the aviation industry (Fan et al, 2010). Today's automotive industry is probably regarded as the sector in which the greatest amount of technology is demanded among all segments of the industry.…”

Section: Introductionmentioning

confidence: 99%

The Development and Applications of Powder Metallurgy Manufacturing Methods in Automotive Industry

Erdem¹

2017

Uluslararası Muhendislik Arastirma Ve Gelistirme Dergisi

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Over the past decade, automotive industry has developed considerably faster than other sectors in direction of consumers' demands. In order to provide worldwide emission standards, focusing on new technologies and enhancing fuel efficiency is emerged as a new trend among automobile manufacturers. Producing more efficient, lighter and eco-friendly cars without compromising performance and comfort has been the main goal of automotive industry in recent years. The high technology requirements of passenger cars with internal combustion engines as well as in hybrid and electric cars have directed the companies in sector to investigate alternative production methods. When compared with conventional manufacturing processes, powder metallurgy (PM) production methods are increasingly preferred by automobile manufacturers as they allow both profitability and part production in some special applications. In this review paper, it is aimed to give information about the development and application of PM methods in automotive sector.

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Development of auto defect classification system on porosity powder metallurgy products

Cited by 25 publications

References 22 publications

Machine vision based in-process light-emitting diode chip mounting system

Machine vision based in-process light-emitting diode chip mounting system

Optimization Design and Flexible Detection Method of Wall-Climbing Robot System with Multiple Sensors Integration for Magnetic Particle Testing

The Development and Applications of Powder Metallurgy Manufacturing Methods in Automotive Industry

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