Selection of Manufacturing Processes and Design Considerations

Switched reluctance motors (SRMs) are simple in structure, easy to manufacture, magnet-less, brushless, and highly robust compared to other AC motors which makes them a good option for applications that operate in harsh environment. However, the motor has non-linear magnetic characteristics, and it comes with various pole-phase combinations and circuit topologies that causes many difficulties in deciding on which type to choose. In this paper, the viability of SRM as a low-cost, rugged machine for vehicle radiator cooling fan is considered. First, necessary design considerations are presented, then three commonly use types of SRM are analyzed: A 3-phase 6/4, 3-phase 12/8, and a 4-phase 8/6 to find their static and dynamic characteristics so the most suitable type can be selected. Simulation results show that the 8/6 SRM produces the highest efficiency with less phase current which reduces the converter burden. However, with asymmetric half bridge converter, eight power switches are required for 8/6 SRM and thus put a burden on the overall drive cost. As a solution, the Miller converter with only six switches for four phase SRM. To verify the proposed idea, the 8/6 SRM was manufactured and tested. The results show that Miller converter can be used for the proposed SRM with slightly reduced efficiency at 80.4%.

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The Lean Six Sigma Algorithm—A Pathway for Decreasing the Continuous Improvement Projects Failure Rate

Proceedings ◽

10.3390/proceedings2020063047 ◽

2020 ◽

Vol 63 (1) ◽

pp. 47

Author(s):

Karam Al-Akel ◽

Liviu-Onoriu Marian

Keyword(s):

Failure Rate ◽

Continuous Improvement ◽

Six Sigma ◽

Lean Six Sigma ◽

Manufacturing Processes ◽

Timely Manner ◽

Improvement Project ◽

Project Failures ◽

Specific Order ◽

Selection Of

Even if Lean and Six Sigma tools are available for large audiences, many of the continuous improvement projects fail due to the lack of a pathway that ensures appropriate results in a timely manner. We would like to address this universal issue by generating, testing and validating an algorithm that improves manufacturing processes in a controlled manner. With a selection of the most valuable set of tools and concepts implemented in a specific order, a guideline for successful project implementation is proposed. Decreasing the overall number of continuous improvement project failures is the main scope of our algorithm and suggested methodology.

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Selection of a Turbine Cooling System Applying Multi-Disciplinary Design Considerations

Annals of the New York Academy of Sciences ◽

10.1111/j.1749-6632.2001.tb05854.x ◽

2006 ◽

Vol 934 (1) ◽

pp. 222-232 ◽

Cited By ~ 1

Author(s):

BORIS GLEZER

Keyword(s):

Cooling System ◽

Turbine Cooling ◽

Design Considerations ◽

Selection Of

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Product and Factory Modeling for Production Rate Determination

Volume 4: 4th Design for Manufacturing Conference ◽

10.1115/detc99/dfm-8936 ◽

1999 ◽

Author(s):

S. G. Karthik ◽

Edward B. Magrab

Keyword(s):

Production Rate ◽

Lead Time ◽

Design Stage ◽

Manufacturing Processes ◽

Assembly Structure ◽

Secondary Manufacturing ◽

Relationship Of ◽

The Relationship ◽

Selection Of ◽

Made In

Abstract An intelligent graphical user interface that captures a product’s functional and assembly structure and the factory that will make it are described. The results are then used to evaluate a factory’s production rate for the product. The program requires the product to be either a functionally uncoupled or decoupled design. The interface then: (1) implements a visualization of the functionally decomposed product structure; (2) implements an abstraction of a factory; (3) automatically generates candidate primary manufacturing processes and materials that are compatible with each other based on a very small number of attributes; (4) enables the user to make Make/Buy decisions for the components comprising the product; (5) assists the user in the selection of secondary manufacturing processes that are compatible with the primary manufacturing processes and materials for parts made in-house, and specify the vendor and the supply lead time for outsourced parts; (6) enables the specification of alternate materials and manufacturing processes; (7) implements a visual representation of the assembly structure as specified by the user; and (8) partially automates the creation of the assembly structure, and assists in the selection of assembly methods that are compatible with the materials chosen. In addition, the program assists in the design for assembly by: (1) requiring the product development team to think about the assembly process early in the design stage; (2) providing a visualization of the relationship of all components comprising the product to its other components; (3) requiring the specification of the order in which they are to be assembled; and (4) requiring the selection of assembly processes that are compatible with each other and the materials chosen. It also requires the specification of the capabilities of the factory that is going to make one or more of the components of the product, and requires that Make/Buy decisions for the parts comprising the product be made.

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Methods for Process Selection in Design

2nd International Conference on Design Theory and Methodology ◽

10.1115/detc1990-0115 ◽

1990 ◽

Author(s):

K. Ishii ◽

C. H. Lee ◽

R. A. Miller

Keyword(s):

Life Cycle Cost ◽

Object Oriented ◽

Manufacturing Processes ◽

Future Challenge ◽

Process Selection ◽

Development Environment ◽

Types Of Knowledge ◽

Major Factors ◽

Case Based ◽

Selection Of

Abstract This paper describes our proposed methodology for process selection that applies to the early stages of product design. We focus on net-shape manufacturing processes and identify the major factors that affect the selection of an appropriate process. The sequence at which designers typically make decisions depends largely on the nature of the product and the development environment. Thus, a versatile methodology should consider all the factors simultaneously in assessing the suitability of the candidate processes. The paper describes three types of knowledge that represent the compatibility of various processes to a given set of specifications: a) Case-based knowledge, i.e., templates of good, bad, and poor combination of decisions, b) Ordinal relationships among candidate processes based on interval analysis of cost, and c) Life-cycle cost estimate. Each type of knowledge gives an evaluation of suitability (compatibility) of candidate processes. Our future challenge lies in combining these measures at various stages of product development. Our initial studies on relationships between process selection and influencing factors lead to a HyperCard stack which stores information in an object-oriented fashion. This stack contains information which is the basis for our future computer-aid for process selection.

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Tension-Leg Platform Design: Interaction of Naval Architectural and Structural Design Considerations

Marine Technology and SNAME News ◽

10.5957/mt1.1979.16.4.343 ◽

1979 ◽

Vol 16 (04) ◽

pp. 343-352

Author(s):

Cuneyt Capanoglu

Keyword(s):

Structural Design ◽

Tension Leg Platform ◽

Design Considerations ◽

Exploration And Production ◽

Anchoring System ◽

Successful Design ◽

Exciting Forces ◽

Platform System ◽

Selection Of

As oil exploration and production move into water depths over 1000 ft (305 m), several companies are investigating compliant structures as possible solutions to the economic and engineering problems involved. This paper focuses on the tension-leg type of platform, a positively buoyant structure kept on location by a pretensioned anchoring system. The basic approach to design of a tension-leg platform system, the various components of the system and the interaction between naval architectural and structural design considerations are presented. The author points out that planning for a successful design must include:preparation of good design criteria,determination of variables,evaluation of variables for sensitivity and interaction,accurate and timely engineering decisions in selection of a set of parameters, andparallel studies covering fabrication, transportation and installation requirements. Appendices give the mathematical bases for computing motions of the tenslon-leg platform and graphic illustrations of platform characteristics and the effects of typical exciting forces.

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Selection of the best phase transformation model for optimization of manufacturing processes of pearlitic steel rails

Archives of Civil and Mechanical Engineering ◽

10.1016/j.acme.2018.12.004 ◽

2019 ◽

Vol 19 (2) ◽

pp. 535-546 ◽

Cited By ~ 4

Author(s):

Roman Kuziak ◽

Valeriy Pidvysots’kyy ◽

Monika Pernach ◽

Łukasz Rauch ◽

Tomasz Zygmunt ◽

...

Keyword(s):

Phase Transformation ◽

Pearlitic Steel ◽

Transformation Model ◽

Manufacturing Processes ◽

Selection Of

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Assessment and Comparison of Various MCDM Approaches in the Selection of Manufacturing Process

Advances in Materials Science and Engineering ◽

10.1155/2020/4039253 ◽

2020 ◽

Vol 2020 ◽

pp. 1-16 ◽

Cited By ~ 3

Author(s):

Atef M. Ghaleb ◽

Husam Kaid ◽

Ali Alsamhan ◽

Syed Hammad Mian ◽

Lotfi Hidri

Keyword(s):

Decision Making ◽

Computational Complexity ◽

Manufacturing Process ◽

Group Decision ◽

Die Casting ◽

Multicriteria Decision Making ◽

Sand Casting ◽

Manufacturing Processes ◽

Alternative Processes ◽

Selection Of

The selection of manufacturing processes for a given application is a complex problem of multicriteria decision-making although there have been several different approaches that can be utilized to select a suitable alternative. However, identifying appropriate multicriteria decision-making approach from the list of available methods for a given application is a difficult task. This work suggests a methodology to assess different selection approaches, which are the technique for order of preference by similarity to ideal solution (TOPSIS), analytic hierarchy process (AHP), and VIKOR: stepwise procedure. This valuation was done depending on the following factors: number of alternative processes and criteria, agility through the process of decision-making, computational complexity, adequacy in supporting a group decision, and addition or removal of a criterion. A case study in this study was presented to analyse the evaluation methodology. The criteria used to evaluate and identify the best manufacturing process were categorized into productivity, accuracy, complexity, flexibility, material utilization, quality, and operation cost. Five manufacturing processes were considered, including gravity die casting, investment casting, pressure die casting, sand casting, and additive manufacturing. The results showed that each approach was suitable for the problems of manufacturing process selection, in particular toward the support of group decision-making and uncertainty modelling. Manufacturing processes were ranked based on their respective weights for AHP, TOPSIS, and VIKOR, and sand casting is the best. In terms of computational complexity, the VIKOR method performed better than TOPSIS and AHP. Moreover, the VIKOR and TOPSIS methods were better convenient to the selection of manufacturing processes for agility during the process of decision-making, the number of alternative processes and criteria, adequacy in supporting a group decision, and addition or removal of a criterion.

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