Optimum Fuzzy Design of Ecological Pressurised Containers

Joint Authors

Taitokari, Erkki
Martikka, Heikki

Source

Advances in Fuzzy Systems

Issue

Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2011-02-22

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Information Technology and Computer Science

Abstract EN

In this study, the basic engineering principles, goals, and constraints are all combined to fuzzy methodology and applied to design of optimally pressurised containers emphasising the ecological and durability merits of various materials.

The present fuzzy heuristics approach is derivable from generalisation of conventional analytical optimisation method into fuzzy multitechnical tasks.

In the present approach, first the goals and constraints of the end-user are identified.

Then decision variables are expressed as functions of the design variables.

Their desirable ranges and biases are defined using the same fuzzy satisfaction function form.

The optimal result has highest total satisfaction.

These are then checked and fine-tuned by finite element method FEM.

The optimal solution is the ecoplastic vessel, and aluminium was close.

The method reveals that optimum depends strongly on the preset goals and values of the producer, society, and end-user.

American Psychological Association (APA)

Martikka, Heikki& Taitokari, Erkki. 2011. Optimum Fuzzy Design of Ecological Pressurised Containers. Advances in Fuzzy Systems،Vol. 2011, no. 2011, pp.1-9.
https://search.emarefa.net/detail/BIM-498424

Modern Language Association (MLA)

Martikka, Heikki& Taitokari, Erkki. Optimum Fuzzy Design of Ecological Pressurised Containers. Advances in Fuzzy Systems No. 2011 (2011), pp.1-9.
https://search.emarefa.net/detail/BIM-498424

American Medical Association (AMA)

Martikka, Heikki& Taitokari, Erkki. Optimum Fuzzy Design of Ecological Pressurised Containers. Advances in Fuzzy Systems. 2011. Vol. 2011, no. 2011, pp.1-9.
https://search.emarefa.net/detail/BIM-498424

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-498424