Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：springer  

Language：Japanese   Publishing type：Research paper (scientific journal)  

Language：English   Publishing type：Research paper (scientific journal)   Publisher：Elsevier  

DOI： 10.1016/j.procir.2016.11.155

Language：English   Publishing type：Research paper (international conference proceedings)  

Language：English   Publishing type：Research paper (scientific journal)  

Language：English   Publishing type：Research paper (scientific journal)  

Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

Language：English   Publishing type：Research paper (international conference proceedings)   Participation form：Joint(The main charge)  

Remanufacturing is one of the methods which reduce environmental impact generated in production processes of industrial products. It is anticipated that the more reusable units are reused, the greater is the reduction in environmental impact. It is necessary to set a physical lifespan to a reusable unit appropriately in order to decrease environmental impact for remanufacturing in the design phase. Moreover, it should be remembered that obsolescence of reusable units may occur as time goes by, which spoils reuse of reusable units. Therefore, it is essential to consider failure, obsolescence and environmental impact simultaneously when designing industrial products with reusable units that have minimum impact on the environment. In this study, reuse efficiency is considered as an evaluation function, whose element is the number of reuse of reusable units, the number of newly manufactured reusable units and the number of disposal of reusable units in a finite time horizon. Numerical examples based on life-cycle simulation are provided along with sensitivity analysis giving key principles to improve reuse efficiency so as to derive an optimum physical life distribution.

Language：English   Publishing type：Research paper (international conference proceedings)   Participation form：Joint(The main charge)  

Conventional production and consumption systems in which industrial products are manufactured and consumed and then finally disposed leads to a significant increase of environmental impact. Gaining environmental preservation in recent years, reuse and recycling of product components are an effective way to conserve natural resources when industrial products are manufactured. In this study, we propose a method to assign each product component to a reasonable end-of-life (EOL) option in the product design phase. We develop a method to determine EOL options considering component combination based on environmental impact and incurred cost, in which circulation of products is modeled by a multi-agent system. Also, we optimize disassembly level for better reuse and recycling. The proposed determination method of EOL options of components in a product is justified by numerical examples.

Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：International Forum on Medical Imaging in Asia   Participation form：Joint(The vice charge)  

Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：画像電子学会   Participation form：Joint(The vice charge)  

Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE   Participation form：Joint(The vice charge)  

Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE   Participation form：Joint(The vice charge)  

Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：Society of Plant Engineers Japan   Participation form：Joint(The main charge)  

Manufacture of environmentally friendly products using used parts are effective in reducing environmental impact because manufacture of new parts will require a lot of raw materials and energy compared to used parts. Since used parts remanufactured are utilized for longer period of time than new parts used parts need to be less prone tophysical failure. We investigate the effect of the physical life distribution of reusable parts incorporated in an abstract product on environmental impacts by the life cycle simulation, in which manufacture, usage, disposal, and reuse are included as life-cycle phases. Then, we discuss the physical failure distribution of a reusable unit which minimizes environmental impact.

Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE   Participation form：Joint(The vice charge)  

Language：English   Publishing type：Research paper (scientific journal)   Participation form：Joint(The main charge)  

Language：English   Publishing type：Research paper (scientific journal)   Participation form：Joint(The main charge)  

Reuse of products or product parts is effective to reduce environmental impact. In the design phase of sustainable products involving reusable units, it is important to set an appropriate physical life span for a reusable unit. A reusable unit should be durable for a period equal to at least two functional lives through product circulation with consideration of functional degradation of products and reusable units, and their demand. If a reusable unit has a short functional life or little demand, its having an excessive physical life span will increase environmental impact. In this study, a mathematical model of environmental impact of a reusable unit is developed in a discrete form. Then, optimal physical life distributions are derived based on numerical examples.

Language：English   Publishing type：Research paper (scientific journal)  

The Mahalanobis-Taguchi system (MTS) based on quality engineering is one of the techniques of failure diagnosis using multivariate data and attracts increasing attention in recent years. The MTS does not fully consider the statistical property of a Mahalanobis distance measure, which affects discrimination rate for the analyzed data. In this study, a new method, in which the statistical property of the Mahalanobis distance is incorporated and normal and abnormal space can be separated efficiently, is proposed. Diagnosis examples for clothing data show that the proposed method performs better than the conventional technique.

Language：English   Publishing type：Research paper (scientific journal)  

Language：English   Publishing type：Research paper (scientific journal)  

Language：English   Publishing type：Research paper (scientific journal)   Participation form：Joint(The main charge)  

Language：English   Publishing type：Research paper (scientific journal)   Participation form：Joint(The main charge)  

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1080/00207549608905037

Language：Japanese   Publisher：The Japan Society for Precision Engineering  

This paper is intended as a development of a new quality design method of improving quality of products. Conventional quality design methods are for single characteristic and aim at minimizing quality costs. Optimal levels of design factors cannot be determined if there are no signal factors. They can be outside feasible regions even if there are signal factors. The proposed method minimizing manufacturing costs is applicable to products with multi objective characteristics and with or without signal factors. A generalized loss function and its statistical expectation for multi objective characteristics are introduced. Classified objective functions are presented considering properties of quality design problems. A minimization problem of the objective function is formulated as a nonlinear programming with a response surface methodology and a central composite design. The effectiveness of the proposed quality design method is shown by numerical examples.

DOI： 10.2493/jjspe.59.1459

CiNii Books

Other Link： https://jlc.jst.go.jp/DN/JALC/00022594853?from=CiNii

Language：Japanese   Publisher：The Japan Society for Precision Engineering  

This paper develops a new parameter design method of improving quality of products with multi objective characteristics. Optimal levels of control or signal factors can not be determined uniquely by trivial extensions of conventional parameter design methods for single characteristic. A loss function is introduced to unify the multiple characteristics via unification of mean and variance of each objective characteristic. A minimization problem of the loss function is formulated as an unconstrained nonlinear programming, and the optimal parameter levels are determined successfully.

DOI： 10.2493/jjspe.58.516

CiNii Books

Other Link： https://jlc.jst.go.jp/DN/JALC/00014127809?from=CiNii

Language：Japanese   Publisher：The Japan Society for Precision Engineering  

This paper identifies axial stress decrease of six bolts attached to a rotational body. For each bolt head a distance from a sensor probe is measured while the rotational body is under rotation. A characteristic parameter representing a bolt head and a flange deformation is calculated for each bolt from the measured distance. Three types of diagnosis problems are dealt with by a multi-layer neural networks approach. A set of characteristic parameters and the number of hidden layer's neurons are changed and their effects on diagnosis performance are investigated. It turns out that the total of six bolt head deformation parameters are useful for the diagnosis, yielding low failed-safe and failed-dangerous probabilities provided that the number of hidden layer's neurons are suitably determined. The neural network gives better diagnosis performance than Bayes' discriminant function approach.

DOI： 10.2493/jjspe.57.1826

CiNii Books

Other Link： https://jlc.jst.go.jp/DN/JALC/00011733850?from=CiNii

Language：Japanese   Publisher：The Japan Society for Precision Engineering  

This paper presents a failure diagnosis of a V-belt thorough vibration monitoring. The belt vibration is monitored at points on a driven bearing. Seven types of basic causes of belt failures are considered. Power spectra of the vibration data are calculated through a noise reduction called a cross-spectrum method. Six parameters characterizing the vibration data are identified, and seventeen typical combinations of basic causes are diagnosed by a Bayes' discriminant function approach. Two types of incorrect diagnoses are considered : type I leaves a failed belt not repaired, and type II causes overmaintenance. Two types of losses are considered accordingly, and the ratio of them is determined so as to minimize the type I error. It turns out that the Bayes' approach using the six characteristic parameters successfully diagnoses the V-belt failure.

DOI： 10.2493/jjspe.57.1965

CiNii Books

Other Link： https://jlc.jst.go.jp/DN/JALC/00012203314?from=CiNii

DOI： 10.1080/00207549008942771

Language：Japanese   Publisher：The Japan Society for Precision Engineering  

This paper deals with a failure diagnosis of a pneumatic directional control valve used in automated production systems. The valve vibration is monitored by an accelerometer. Six parameters characterizing the vibration data are extracted, and fed into multi-layer neural networks to solve four types of diagnosis problems. It is shown that the neural network approach is useful for the failure diagnosis, yielding low failed-safe and low failed-dangerous probabilities. Neural network structures are analyzed through Boolean expressions summarizing relationships between two successive neuron layers. These expressions are obtained by noting that, for learning patterns, occurrences of discrete failure events behind continuous network input parameters are known. For each neuron, its function can be clarified by the structure analysis; irrelevant neurons can be identified and removed without degrading the diagnosis performance; the neural network for a diagnosis of foreign material around a spool utilizes a majority voting mechanism, and attains a 50 % reduction of incorrect answers compared with a linear diagnosis. A conjugate gradient followed by a variable metric method is demonstrated as an effective learning algorithm.

DOI： 10.2493/jjspe.56.2291

CiNii Books

Other Link： https://jlc.jst.go.jp/DN/JALC/00006473235?from=CiNii

DOI： 10.1080/00207549008942746

Language：Japanese   Publisher：The Japan Society for Precision Engineering  

An automated measurement method of drill wear and chipping is developed for applications to machining centers. Two ITV cameras are used. A global image via the first ITV camera is used to rotate the drill for a major cutting edge to be a central vertical line in each of three detailed images via the second camera. The second camera, in turn, focuses automatically towards a potentially affected small region of the drill, the three detailed images are inputted into a computer, and failed portions are extracted by image processing techniques. One or two dimensional quantities such as wear width, chipping width, and failed portion area are determined successfully together with three dimensional shapes as drill surface contours. Lighting directions are determined in such a way as a diffuse component dominates a specular reflection and the failed portions are more illuminated than normal portions.

DOI： 10.2493/jjspe.56.1841

CiNii Books

Other Link： https://jlc.jst.go.jp/DN/JALC/00005298730?from=CiNii

Language：Japanese   Publisher：The Japan Society for Precision Engineering  

Noncontact monitoring equipment for detecting tool failures by optical measurement has been developed for applications to machining centers, turning centers, etc. The equipment consists of : (1) An auto-focusing device for an ITV camera to focus on the failed portions of a tool. (2) A foul halogen lamp system for contrasting the failed portions against the normal region. (3) An image processing procedure for extracting failed portions from a composite tool image obtained by lighting the tool from three different axes. (4) An accurate calculating method of quantifying the failures.

DOI： 10.2493/jjspe.55.1403

CiNii Books

Other Link： https://jlc.jst.go.jp/DN/JALC/00226625056?from=CiNii

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：東京工業大学，オンライン開催  

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：青山学院大学，東京（オンライン開催）  

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：オンライン開催  

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：オンライン開催  

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：オンライン開催  

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：東京，東京電気通信大学  

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：東京，東京電気通信大学  

Language：Japanese   Presentation type：Oral presentation (general)  

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：東京，早稲田大学  

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：東京，早稲田大学  

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：東京，東京電機大  

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：東京，東京電機大  

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：東京，東京電機大  

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：東京，早稲田大学  

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：東京，早稲田大学  

Language：Japanese   Presentation type：Poster presentation  

Venue：東京，東京電機大学  

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：東京，中央大学  

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：東京，中央大学  

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：大阪，ダイキン工業TIC  

Language：English   Presentation type：Oral presentation (general)  

Venue：ダイキン工業TIC  

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：東京，早稲田大学  

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：東京，早稲田大学  

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：東京，早稲田大学  

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：九州大学  

Language：English   Presentation type：Oral presentation (general)  

Venue：Pasadena, California, USA  

Language：English   Presentation type：Oral presentation (general)  

Venue：茨城大学  

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：千葉大学  

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：東京，早稲田大学  

Language：Japanese   Presentation type：Oral presentation (general)  

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：石川，ＩＴビジネスプラザ武蔵  

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：東京，早稲田大学  

Language：Japanese   Presentation type：Oral presentation (general)  

Language：Japanese   Presentation type：Poster presentation  

Language：Japanese   Presentation type：Oral presentation (general)  

Language：English   Presentation type：Oral presentation (general)  

Language：Japanese   Presentation type：Oral presentation (general)  

Language：Japanese   Presentation type：Oral presentation (general)  

Language：Japanese   Presentation type：Oral presentation (general)  

Language：English   Presentation type：Oral presentation (general)  

Language：Japanese   Presentation type：Oral presentation (general)  

Language：Japanese   Presentation type：Oral presentation (general)  

Language：Japanese   Presentation type：Oral presentation (general)  

Language：Japanese   Presentation type：Oral presentation (general)  

Language：Japanese   Presentation type：Oral presentation (general)  

Language：Japanese   Presentation type：Oral presentation (invited, special)  

Language：English   Presentation type：Oral presentation (general)