scholarly journals SELECTION OF THE PREFERRED DESIGN FOR MANUFACTURABILITY BY CONSTRUCTING THE PARETO TUPLE

2021 ◽  
pp. 1-7
Author(s):  
Gamid Irzaev ◽  
Magomedimin Kanaev ◽  
Marzhanat Isalova
Keyword(s):  
Mass Production ◽  
Optimization Methods ◽  
Design For Manufacturability ◽  
Reference Standard ◽  
Production Environment ◽  
Instrument Making ◽  
Step Process ◽  
Basic Reference ◽  
Design Options ◽  
Selection Of

The system to ensure manufacturability of industrial products is aimed at reducing the costs of all types of resources at the stages of their life cycle, selecting the most competitive in cost and functionality designs at the early stages of engineering. When assessing the new designs for manufacturability to be developed and selecting the best analogue or basic reference standard in terms of manufacturability, the engineer faces the need to apply multicriteria optimization methods. The solution of the applied task of design optimization by quantitative criteria of manufacturability in the conditions of an uncertain design and production environment is considered in the article as implementable in the system for ensuring design for manufacturability. The decisive rules for implementing the multi-step process of ranking the design options according to the manufacturability criteria with the construction of the Pareto tuple are formed. The implementation of the method is exemplified in practice when choosing the oscilloscope design that is advantageous in terms of manufacturability at a mass-production instrument-making plant.

Effect and procedures of post-exposure bake temperature optimization on the CD uniformity in a mass production environment

2007 ◽  
Author(s):  
Kirsten Ruck ◽  
Heiko Weichert ◽  
Steffen Hornig ◽  
Frank Finger ◽  
Göran Fleischer ◽  
...  
Keyword(s):  
Mass Production ◽  
Production Environment ◽  
Post Exposure ◽  
Temperature Optimization ◽  
Post Exposure Bake

Life Augmentation of Turbine Exhaust System Compensators Through Integrated MADM Optimization Approach of Stress Based Fatigue Cycles

2021 ◽  
Author(s):  
Nitin D. Pagar ◽  
Amit R. Patil
Keyword(s):  
Exhaust System ◽  
Optimization Methods ◽  
Fractional Factorial ◽  
Design Parameters ◽  
Optimization Approach ◽  
Auxiliary Equipment ◽  
Maximum Expansion ◽  
Optimal Configurations ◽  
Selection Of ◽  
Turbine Exhaust

Abstract Exhaust expansion joints, also known as compensators, are found in a variety of applications such as gas turbine exhaust pipes, generators, marine propulsion systems, OEM engines, power units, and auxiliary equipment. The motion compensators employed must have accomplished the maximum expansion-contraction cycle life while imposing the least amount of stress. Discrepancies in the selecting of bellows expansion joint design parameters are corrected by evaluating stress-based fatigue life, which is challenging owing to the complicated form of convolutions. Meridional and circumferential convolution stress equations that influencing fatigue cycles are evaluated and verified with FEA. Fractional factorial Taguchi L25 matrix is used for finding the optimal configurations. The discrete design parameters for the selection of the suitable configuration of the compensators are analysed with the help of the MADM decision making techniques. The multi-response optimization methods GRA, AHP, and TOPSIS are used to determine the parametric selection on a priority basis. It is seen that weighing distribution among the responses plays an important role in these methods and GRA method integrated with principal components shows best optimal configurations. Multiple regression technique applied to these methods also shows that PCA-GRA gives better alternate solutions for the designer unlike the AHP and TOPSIS method. However, higher ranked Taguchi run obtained in these methods may enhance the suitable selection of different design configurations. Obtained PCA-GRG values by Taguchi, Regression and DOE are well matched and verified for the all alternate solutions. Further, it also shows that stress based fatigue cycles obtained in this analysis for the L25 run indicates the range varying from 1.13 × 104 cycles to 9.08 × 105 cycles, which is within 106 cycles. This work will assist the design engineer for selecting the discrete parameters of stiff compensators utilized in power plant thermal appliances.

A More Effective Formulation of the Path Generation Mechanism Synthesis Problem

1994 ◽  
Author(s):  
Irfan Ullah ◽  
Sridhar Kota
Keyword(s):  
Objective Function ◽  
Error Function ◽  
Mathematical Optimization ◽  
Optimization Methods ◽  
Complex Nature ◽  
Mechanism Synthesis ◽  
Structural Error ◽  
Crank Angle ◽  
The Common ◽  
Selection Of

Abstract Use of mathematical optimization methods for synthesis of path-generating mechanisms has had only limited success due to the very complex nature of the commonly used Structural Error objective function. The complexity arises, in part, because the objective function represents not only the error in the shape of the coupler curve, but also the error in location, orientation and size of the curve. Furthermore, the common introduction of timing (or crank angle), done generally to facilitate selection of corresponding points on the curve for calculating structural error, has little practical value and unnecessarily limits possible solutions. This paper proposes a new objective function, based on Fourier Descriptors, which allows search for coupler curve of the desired shape without reference to location, orientation, or size. The proposed objective function compares overall shape properties of curves rather than making point-by-point comparison and therefore does not requires prescription of timing. Experimental evidence is provided to show that it is much easier to search the space of the proposed objective function compared to the structural error function.

Custom Built of Smart Computing Platform for Supporting Optimization Methods and Artificial Intelligence Research

2021 ◽  
Vol 58 (S) ◽  
pp. 59-64
Author(s):  
Indar Sugiarto ◽  
Doddy Prayogo ◽  
Henry Palit ◽  
Felix Pasila ◽  
Resmana Lim ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Message Passing ◽  
Graphics Processing Units ◽  
High Performance ◽  
Message Passing Interface ◽  
Optimization Methods ◽  
Computer Hardware ◽  
Production Environment ◽  
Computing Platform ◽  
Commercial Off The Shelf

This paper describes a prototype of a computing platform dedicated to artificial intelligence explorations. The platform, dubbed as PakCarik, is essentially a high throughput computing platform with GPU (graphics processing units) acceleration. PakCarik is an Indonesian acronym for Platform Komputasi Cerdas Ramah Industri Kreatif, which can be translated as “Creative Industry friendly Intelligence Computing Platform”. This platform aims to provide complete development and production environment for AI-based projects, especially to those that rely on machine learning and multiobjective optimization paradigms. The method for constructing PakCarik was based on a computer hardware assembling technique that uses commercial off-the-shelf hardware and was tested on several AI-related application scenarios. The testing methods in this experiment include: high-performance lapack (HPL) benchmarking, message passing interface (MPI) benchmarking, and TensorFlow (TF) benchmarking. From the experiment, the authors can observe that PakCarik's performance is quite similar to the commonly used cloud computing services such as Google Compute Engine and Amazon EC2, even though falls a bit behind the dedicated AI platform such as Nvidia DGX-1 used in the benchmarking experiment. Its maximum computing performance was measured at 326 Gflops. The authors conclude that PakCarik is ready to be deployed in real-world applications and it can be made even more powerful by adding more GPU cards in it.

scholarly journals Selection of efficient ships according to the criterion of marginal price at the feasibility study

2021 ◽  
pp. 172-181
Author(s):  
Oksana Y. Vasileva ◽  
Marina V. Nikulina Nikulina ◽  
Juri I. Platov Platov
Keyword(s):  
Fuel Consumption ◽  
Feasibility Study ◽  
Information Technologies ◽  
Optimization Methods ◽  
Relevant Information ◽  
Operating Conditions ◽  
Initial Stage ◽  
Level Of Use ◽  
High Level ◽  
Selection Of

The article deals with the problem of selecting efficient ships by the feasibility study in which brake power, main dimensions, payload, speed and fuel consumption are determined. The necessity of using the proposed selection at the initial stage of the ship's design is justified; the problems that arise at the present time are denoted. The purpose of the article is to propose a criterion for the selection of efficient vessels, "tied" to the operating conditions, based on the marginal cost of the ship. A method for its determination is presented. At the same time, annual revenues and operating costs should be determined by modern methods of business planning for the operation of the fleet. When searching for the parameters of the ship, the optimal fuel consumption is determined. The rest of the costs can be found according to the coefficients "tied" to the fuel consumption and calculated on the basis of existing prototypes. The results of calculations by the proposed method are shown; its merits and opportunities for improvement are noted with the availability of relevant information. The conclusion is made about the convenience and applicability of the proposed option for selecting efficient ship for the feasibility study based on optimization methods for determining the parameters of vessels under conditions of a high level of use of information technologies.

Systematische Methodenauswahl bei der Digitalisierung/Systematic selection of methods for digitization projects – Leveraging established software development methods in the manufacturing industry

2020 ◽  
Vol 110 (04) ◽  
pp. 226-230
Author(s):  
Andreas Selmaier ◽  
Benedikt Martens ◽  
Martin Sjarov ◽  
Marlene Kuhn ◽  
Meike Herbert ◽  
...  
Keyword(s):  
Software Development ◽  
Manufacturing Industry ◽  
Project Planning ◽  
Production Environment ◽  
Software Projects ◽  
It Systems ◽  
Planning Methods ◽  
Systematic Selection ◽  
Iterative Procedures ◽  
Selection Of

Digitalisierungsprojekte sind Softwareprojekte. Sequenzielle Planungsmethoden, wie sie im konventionellen Projektmanagement überwiegend Anwendung finden, eignen sich nur bedingt für diesen Projekttyp, da die anwendungsspezifischen Anforderungen sowie die Abhängigkeiten der Anlagen und IT-Systeme untereinander zu einem erheblichen Anstieg der Gesamtkomplexität führen. In diesem Beitrag wird daher ein Ansatz zur systematischen Auswahl geeigneter Projektmanagementmethoden für Digitalisierungsprojekte vorgestellt, welcher die traditionelle Projektplanung im Produktionsumfeld um iterative Vorgehensweisen aus der Software- entwicklung ergänzt.   Digitalization projects are software projects. Less suitable for such projects are sequential planning methods often used in conventional project management, as application-specific requirements and interdependencies of facilities and IT systems considerably increase overall complexity. Therefore, this paper presents an approach for the systematic selection of suitable management methods for digitalization projects, which adds iterative procedures from software development to traditional project planning in the production environment.

Supporting the selection of process and plant design options by Inherent Safety KPIs

2012 ◽  
Vol 25 (5) ◽  
pp. 830-842 ◽  
Author(s):  
Alessandro Tugnoli ◽  
Gabriele Landucci ◽  
Ernesto Salzano ◽  
Valerio Cozzani
Keyword(s):  
Inherent Safety ◽  
Plant Design ◽  
Design Options ◽  
Selection Of

scholarly journals Design for manufacturability in virtual environment using knowledge engineering

2014 ◽  
Vol 5 (1) ◽  
pp. 3-10 ◽  
Author(s):  
Julian Jakubowski ◽  
Jozef Peterka
Keyword(s):  
Mass Production ◽  
Knowledge Engineering ◽  
Complex Geometry ◽  
New Products ◽  
Design For Manufacturing ◽  
Point Of View ◽  
Design For Manufacturability ◽  
Design Stage ◽  
Early Design ◽  
Early Design Stage

Abstract Design for manufacturing (DFM) strategies help companies to develop new products that are feasible to manufacture. In the early stages of design all engineering activities are initiated in computer aided systems. When the design is finished, the process of manufacturing and production planning begins. Issues often occur at this point because two teams, designers and manufacturers, have been working separately. The resulting question is: ‘how can Knowledge Engineering (KE) be used effectively to enhance manufacturability during early design?’ Even if the most complex geometrical product can be realized using today’s technologies such as rapid prototyping it is only true in unit production. In lot and mass production where CNC machines are used, complex geometry causes a number of difficulties. So it is important to investigate the project carefully in the early design stage from the point of view of whether it will be possible to manufacture.

Selection of Controls in Case-Control Studies: III. Design Options

1992 ◽  
Vol 135 (9) ◽  
pp. 1042-1050 ◽  
Author(s):  
Sholom Wacholder ◽  
Debra T. Silverman ◽  
Joseph K. McLaughlin ◽  
Jack S. Mandel
Keyword(s):  
Case Control ◽  
Case Control Studies ◽  
Design Options ◽  
Selection Of

A Knowledge-Based Tool for the Selection of Design Options During the Competitive Tendering of Vehicle Systems

Volume 3 ◽  
2004 ◽  
Author(s):  
Clive I. Kerr ◽  
Rajkumar Roy ◽  
Peter J. Sackett
Keyword(s):  
Automotive Industry ◽  
Proof Of Concept ◽  
Competitive Tendering ◽  
Knowledge Based ◽  
Vehicle System ◽  
Tier 1 ◽  
Vehicle Systems ◽  
Design Options ◽  
Selection Of

In the automotive industry the activities of documenting the design options and generating the necessary request for quotations, for Tier 1 system suppliers to be awarded contracts for design and development, is complex and time-consuming since these activities are predominately manual and paper-based. Thus, a knowledge-based tool is being developed to aid the selection of the design options for vehicle systems during competitive tendering. The tool is based on ontologies in order to provide a common and shared definition for the options available for a given vehicle system. An overview of this approach is provided and, as a ‘proof of concept’, a case study involving seating systems is presented. This paper shows, through the seating system case study, how the functionalities and features of a vehicle system can be selected and documented in order to streamline the business process of contracting out product development through the supply chain.

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