Framework for Functional Verication in Product Design Considering Ways and Situations of Use

Morinaga, Eiji; Akasaka, Takuya; Wakamatsu, Hidefumi; Arai, Eiji; Abiru, Hijiri

doi:10.5687/iscie.28.116

Cited by 4 publications

(3 citation statements)

References 12 publications

(16 reference statements)

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“…In order to avoid such troubles, it is necessary, in addition to assuming various ways thoroughly, to systematically detect the troubles caused by the ways. This section outlines the framework for the systematic detection (Morinaga, et al, 2015) and describes its problem for practical use.…”

Section: Outline Of Framework For Functional Verification Consideringmentioning

confidence: 99%

“…Fig. 2 Influence of ways of usage on functions via behavior (Morinaga, et al, 2015). Morinaga, Wakamatsu, Abiru and Arai, Journal of Advanced Mechanical Design, Systems, and Manufacturing, Vol.11, No.5 (2017) (a) Physical phenomena model by cause-and-effect graph.…”

Section: Outline Of Framework For Functional Verification Consideringmentioning

confidence: 99%

“…These works focus only on behavior of the products or systems and do not consider external factors like ways of usage. Therefore, a new framework for the automated functional verification was proposed (Morinaga, et al, 2015). In this framework, functions, behavior and physical phenomena caused by a way of usage are modeled by function decomposition tree, Petri net, and cause-andeffect graph, respectively.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Behavior modeling method for functional verification of product considering ways of usage

Morinaga

Wakamatsu

Abiru

et al. 2017

JAMDSM

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Section: Outline Of Framework For Functional Verification Consideringmentioning

confidence: 99%

Section: Outline Of Framework For Functional Verification Consideringmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Behavior modeling method for functional verification of product considering ways of usage

Morinaga

Wakamatsu

Abiru

et al. 2017

JAMDSM

Self Cite

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Failure detection of products with quantitative modeling of behavior of entities and cause-and-effect relationships among physical phenomena

Akashi

Morinaga

Wakamatsu

et al. 2017

Transactions of the JSME (In Japanese)

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With recent globalization in industries, the number of failures and troubles of products caused by using them in unexpected ways has increased. In order to avoid such troubles, it is necessary not only to assume various ways of use thoroughly, but also to verify whether the design plan can fulfill required functions when the product is utilized in those ways. From this point of view, the authors proposed a functional verification method considering ways of use based on qualitative modeling of behavior of entities and cause-and-effect relationships among physical phenomena using Petri nets. It is, however, impossible to detect failures concerning to specification which requires dealing with quantitative information. This paper provides a method for quantitative modeling of behavior of entities and cause-and-effect relationships among physical phenomena. Two types of tokens were defined for dealing with positive and negative values and four types of arcs were for controlling changes of those values. These new elements of Petri net made it possible to represent behavior of entities and cause-and-effect relationships quantitatively. Application of this new modeling method to the functional detection method enables automatic detection of failures concerning to both functions and specification. The detection method using this modeling method was applied to an example, and its effectiveness was proven.

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Cause Prediction of Product Defects Using Event Causality

WAKAMATSU,

HATANO,

MORINAGA

et al. 2023

Journal of Smart Processing

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For improving product safet y and reliability, possible defects are analyzed in advance using FMEA, FTA, and so on. However, whether such methods can predict defects depends on the knowledge and experience of engineers. In this paper, we propose a defect cause analysis method that can automatically derive possible causes without relying on the experience of engineers, and can extract causes difficult to predict. First, events and their causal relationships are modeled with Petri nets. In addition, an assembly model is introduced to represent the propagation of events between parts. Next, a method to predict the causes of product defects using the causal relationship model and the assembly model is proposed. In the method, a model including not only the functions of a product but also its manufacturing process is created at first. Then, past event causal data related to events in the product model are combined into the model. After that, a defect cause prediction model could be generated by reversing the relationship between cause and effect. By using this model, a cause event of a product defect can be traced step by step. Thus, possible underlying causes of the product defect are automatically derived. Finally, we confirmed the usefulness of our proposed method by implementing a system and predicting the causes of a defect of a soldering iron.

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Framework for Functional Verication in Product Design Considering Ways and Situations of Use

Cited by 4 publications

References 12 publications

Behavior modeling method for functional verification of product considering ways of usage

Behavior modeling method for functional verification of product considering ways of usage

Failure detection of products with quantitative modeling of behavior of entities and cause-and-effect relationships among physical phenomena

Cause Prediction of Product Defects Using Event Causality

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