A Model for Evaluating the Performance of the Bearing Manufacturing Process

Chen, Kuen‐Suan; Yu, Chun-Min; Hsu, Ting-Hsin; Cai, Shang-Ru; Chiou, Kuo-Ching

doi:10.3390/app9153105

Cited by 12 publications

(4 citation statements)

References 25 publications

(34 reference statements)

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“…A lot of studies have indicated that if the required process capability of a product is v , then the required value v of the process capability of an individual quality characteristic must be greater than v [2,30,31]. As mentioned above, when the process capability for each quality characteristic meets the requirement, it can be claimed as a qualified product or component.…”

Section: Estimations Of Process Quality Indicesmentioning

confidence: 99%

Developing a Novel Fuzzy Evaluation Model by One-Sided Specification Capability Indices

Yang

Lai

et al. 2021

Mathematics

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When all of the one-sided specification indices of each quality characteristic reach the requirements of the process quality level, they can ensure that the process capability of the product meets the requirements of the process quality level. This study constructs a fuzzy membership function based on the upper confidence limit of the index, derives the fuzzy critical value, and then labels the fuzzy critical value on the axis of the visualized radar chart as well as connects adjacent critical points to shape a regular polygonal critical region. Next, this study calculates the observed value of the index to estimate and mark it on the axis for forming a visualized fuzzy radar evaluation chart. Obviously, this fuzzy evaluation model not only reduces the testing cost but also makes the quality level quickly meet the requirements of the specifications. Further, the radar chart can reduce the risk of misjudgment attributable to sampling errors and help improve the accuracy of evaluation by a confidence-upper-limit-based fuzzy evaluation model. Therefore, this easy-to-use visualized fuzzy radar evaluation chart is used as an evaluation interface, which has good and convenient management performance to identify and improve critical-to-quality quickly. Improving the quality of the process before the product is completed will also have the advantage of reducing social losses and environmental damage costs.

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Section: Estimations Of Process Quality Indicesmentioning

confidence: 99%

Developing a Novel Fuzzy Evaluation Model by One-Sided Specification Capability Indices

Yang

Lai

et al. 2021

Mathematics

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“…In the other aspect, there are also techniques improving function reconfiguration, control systems with networks [136], stiffness, and high precision. The manufacturing process of key components also has a significant role in sustainable machine tool design and manufacturing, like the bearing manufacturing process [137]. The optimization of moving component like the guideway and spindle system could decrease energy consumption by reducing mass with new structure or material [138].…”

Section: Other Technologiesmentioning

confidence: 99%

The Analysis of Key Technologies for Sustainable Machine Tools Design

Feng

Shi

2020

Applied Sciences

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Machine tools as indispensable tools for manufacturing products are typical high-energy, high-carbon manufacturing systems due to their larger mass, longer life cycles and huge resources and energy consumption. The current research trend of sustainable machine tools aims to reduce cost, energy consumption and increase sustainability without compromising their functionality, usability, productivity, accuracy, etc. However, there is a lack of systematic reviews about what are the key technologies for sustainable machine tools design. Thus, a comprehensive literature review of machine tool design for sustainability is needed in order to make clear how to design and evaluate sustainable machine tools from the viewpoint of life cycle sustainability analysis. The aim of this paper is to review the sustainable design and assessment aspects of machine tool design from partial goals to integrated aims according to whole sustainability dimensions such as the environment, economy and society, as well as involving key techniques in different life cycle stages. Recent research and study on improving directly or indirectly sustainability performance of machine tools according to focus points could be summarized as: design optimization of components such as lightweight using topology and bionic methods; structure design with modular design and layout; reducing cutting fluids and lubricant oil by employing minimum quantity lubrication, dry and cryogenic machining; reducing energy consumption; waste reduction by reusing, remanufacturing and recycling; sustainability assessment i.e., energy model, life cycle cost and life cycle social benefit. This paper assists designers and manufacturers to improve sustainability of machine tools by specific optimization measures in their activities.

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“…Duan et al [24] put forward a reliability modeling and evaluating methodology for a repairable, non-series, multistate FMS with finite buffers by using an improved vector universal generation function to satisfy the market demands on capacity and capability of the system. Chen et al [25] proposed a process performance evaluation chart to examine the manufacturing performance of bearing connectors, which can also be used for multiple evaluations of manufacturing performance in other manufacturing industries. Kim and Hwangbo [26] investigated the innovation process for smart manufacturing in the domain of synthetic rubber and its vulcanization process, as well as a real-time sensing technology to the realization of a smart manufacturing environment by building cloud-based infrastructure and models for the pre-detection of defects.…”

Section: Introductionmentioning

confidence: 99%

Lz-Transform Method and Markov Reward Approach for Flexible Manufacturing System Performance Evaluation

et al. 2019

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This article presents a performance evaluation of a flexible manufacturing system (FMS), in which the system and its components can have different performance levels ranging from perfect functioning to total failure. An original multistate transition process for the FMS’s main component, Computerized Numerical Control (CNC) machine tools, proposed in the current article and treated as an aging process because of its increasing failure rate is investigated. The Markov reward approach is utilized to analyze the availability of CNC machine tools and sensitivity analysis of each non-operational state to the machine’s downtime. To overcome the “state explosion problem” in the subsequent FMS performance evaluation process, an application of the Lz-transform method is proposed to determine the performance evaluation and availability of such aging multistate FMS. An illustrated case is presented to demonstrate the performance evaluation process. The results show that the suggested methods can be implemented in engineering decision making and construction of various aging multistate FMS related to demands, availability, and output performance.

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A Model for Evaluating the Performance of the Bearing Manufacturing Process

Cited by 12 publications

References 25 publications

Developing a Novel Fuzzy Evaluation Model by One-Sided Specification Capability Indices

Developing a Novel Fuzzy Evaluation Model by One-Sided Specification Capability Indices

The Analysis of Key Technologies for Sustainable Machine Tools Design

Lz-Transform Method and Markov Reward Approach for Flexible Manufacturing System Performance Evaluation

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