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Article
Publication date: 1 March 1990

L.R. TURNER and T.Q. HUA

Problem 12 of the TEAM (Testing Electromagnetic Analysis Methods) Workshops for Eddy Current Code Comparison is a cantilever beam in crossed steady and time‐varying magnetic…

159

Abstract

Problem 12 of the TEAM (Testing Electromagnetic Analysis Methods) Workshops for Eddy Current Code Comparison is a cantilever beam in crossed steady and time‐varying magnetic fields. A total of six solutions to this coupled problem are described and compared with experimental results. Most solutions treated the electromagnetic aspects of the problem numerically, but the mechanical motion aspects analytically with a single degree of freedom. In general, the numerical predictions are in very good agreement with experiments.

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COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, vol. 9 no. 3
Type: Research Article
ISSN: 0332-1649

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Article
Publication date: 1 February 1995

TOSHIYUKI TAKAGI

This paper describes the results for magnetic damping in torsional mode (TEAM problem 16). A total of six solutions are presented and compared with experimental results. The…

106

Abstract

This paper describes the results for magnetic damping in torsional mode (TEAM problem 16). A total of six solutions are presented and compared with experimental results. The problem is treated as a coupled electromagnetomechanical one. In general numerical predictions agree well with experiment.

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COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, vol. 14 no. 2/3
Type: Research Article
ISSN: 0332-1649

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Article
Publication date: 1 March 1994

N.J. SIAKAVELLAS

A simple model is proposed for the analytical calculation of the eddy current induced by a time‐varying magnetic field in a conductive plate. It is assumed that the current is…

195

Abstract

A simple model is proposed for the analytical calculation of the eddy current induced by a time‐varying magnetic field in a conductive plate. It is assumed that the current is uniformly distributed over the plate thickness and circulates in rectangular paths. The plate is considered as an equivalent LR circuit and its equivalent inductance and resistance are calculated analytically and expressed as a function of the plate dimensions. The analytical solution of the equation, governing the LR circuit, yields the total current circulating in the plate as a function of time. The model is applied to a well known benchmark problem and the results are in good agreement with those obtained by experiment.

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COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, vol. 13 no. 3
Type: Research Article
ISSN: 0332-1649

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Article
Publication date: 20 December 2019

Guolei Wang, Xiaotong Hua, Jing Xu, Libin Song and Ken Chen

This paper aims to achieve automatically surface segmentation for painting different kinds of aircraft efficiently considering the demands of painting robot.

386

Abstract

Purpose

This paper aims to achieve automatically surface segmentation for painting different kinds of aircraft efficiently considering the demands of painting robot.

Design/methodology/approach

This project creatively proposed one method that accepts point cloud, outputs several blocks, each of which can be handled by ABB IRB 5500 in one station. Parallel PointNet (PPN) is proposed in this paper for better handling six dimensional aircraft data including every point normal. Through semantic segmentation of PPN, each surface has its own identity information indicating which part this surface belongs to. Then clustering considering constraints is applied to complete surface segmentation with identity information. To guarantee segmentation paintable and improve painting efficiency, different dexterous workspaces of IRB 5500 corresponding to different postures have been analyzed carefully.

Findings

The experiments confirm the effectiveness of the proposed surface segmentation method for painting different types of aircraft by IRB 5500. For semantic segmentation on aircraft data with point normal, PPN has higher precision than PointNet. In addition, the whole algorithm can efficiently segment one complex aircraft into qualified blocks, each of which has its own identity information, can be painted by IRB 5500 in one station and has fewer edges with other blocks.

Research limitations/implications

As the provided experiments indicate, the proposed method can segment one aircraft into qualified blocks automatically, which highly improves the efficiency in aircraft painting compared with traditional approaches. Moreover, the proposed method is able to provide identity information of each block, which is necessary for application of different paint parameters and different paint materials. In addition, final segmentation results by the proposed method behaves better than k-means cluster on variance of normal vector distance.

Originality/value

Inspired by semantic segmentation of 3 D point cloud, some improvements based on PointNet have been proposed for better handling segmentation of 6 D point cloud. By introducing normal vectors, semantic segmentation could be accomplished precisely for close points with opposite normal, such as wing upper and lower surfaces. Combining deep learning skills with traditional methods, the proposed method is proved to behave much better for surface segmentation task in aircraft painting.

Details

Assembly Automation, vol. 40 no. 2
Type: Research Article
ISSN: 0144-5154

Keywords

Available. Open Access. Open Access
Article
Publication date: 6 August 2024

Rabia Hassan, Zeeshan Ahmad Arfeen, Mehreen Kausar Azam, Zain ul Abiden Akhtar, Abubakar Siddique and Muhammad Rashid

Material selection, driven by wide and often conflicting objectives, is an important, sometimes difficult problem in material engineering. In this context, multi-criteria…

281

Abstract

Purpose

Material selection, driven by wide and often conflicting objectives, is an important, sometimes difficult problem in material engineering. In this context, multi-criteria decision-making (MCDM) methodologies are effective. An approach of MCDM is needed to cater to criteria of material assortment simultaneously. More firms are now concerned about increasing their productivity using mathematical tools. To occupy a gap in the previous literature this research recommends an integrated MCDM and mathematical Bi-objective model for the selection of material. In addition, by using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), the inherent ambiguities of decision-makers in paired evaluations are considered in this research. It goes on to construct a mathematical bi-objective model for determining the best item to purchase.

Design/methodology/approach

The entropy perspective is implemented in this paper to evaluate the weight parameters, while the TOPSIS technique is used to determine the best and worst intermediate pipe materials for automotive exhaust system. The intermediate pipes are used to join the components of the exhaust systems. The materials usually used to manufacture intermediate pipe are SUS 436LM, SUS 430, SUS 304, SUS 436L, SUH 409 L, SUS 441 L and SUS 439L. These seven materials are evaluated based on tensile strength (TS), hardness (H), elongation (E), yield strength (YS) and cost (C). A hybrid methodology combining entropy-based criteria weighting, with the TOPSIS for alternative ranking, is pursued to identify the optimal design material for an engineered application in this paper. This study aims to help while filling the information gap in selecting the most suitable material for use in the exhaust intermediate pipes. After that, the authors searched for and considered eight materials and evaluated them on the following five criteria: (1) TS, (2) YS, (3) H, (4) E and (5) C. The first two criteria have been chosen because they can have a lot of influence on the behavior of the exhaust intermediate pipes, on their performance and on the cost. In this structure, the weights of the criteria are calculated objectively through the entropy method in order to have an unbiased assessment. This essentially measures the quantity of information each criterion contribution, indicating the relative importance of these criteria better. Subsequently, the materials were ranked using the TOPSIS method in terms of their relative performance by measuring each material from an ideal solution to determine the best alternative. The results show that SUS 309, SUS 432L and SUS 436 LM are the first three materials that the exhaust intermediate pipe optimal design should consider.

Findings

The material matrix of the decision presented in Table 3 was normalized through Equation 5, as shown in Table 5, and the matrix was multiplied with weighting criteria ß_j. The obtained weighted normalized matrix V_ij is presented in Table 6. However, the ideal, worst and best value was ascertained by employing Equation 7. This study is based on the selection of material for the development of intermediate pipe using MCDM, and it involves four basic stages, i.e. method of translation criteria, screening process, method of ranking and search for methods. The selection was done through the TOPSIS method, and the criteria weight was obtained by the entropy method. The result showed that the top three materials are SUS 309, SUS 432L and SUS 436 LM, respectively. For the future work, it is suggested to select more alternatives and criteria. The comparison can also be done by using different MCDM techniques like and Choice Expressing Reality (ELECTRE), Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE).

Originality/value

The results provide important conclusions for material selection in this targeted application, verifying the employment of mutual entropy-TOPSIS methodology for a series of difficult engineering decisions in material engineering concepts that combine superior capacity with better performance as well as cost-efficiency in various engineering design.

Details

Railway Sciences, vol. 3 no. 5
Type: Research Article
ISSN: 2755-0907

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Article
Publication date: 1 June 1996

Nicolaos J. Siakavellas

Solves a coupled electromagnetic‐mechanical problem ‐ that of a cantilevered conductive plate in crossed steady and time‐varying magnetic fields ‐ by using a semi‐analytical…

411

Abstract

Solves a coupled electromagnetic‐mechanical problem ‐ that of a cantilevered conductive plate in crossed steady and time‐varying magnetic fields ‐ by using a semi‐analytical method and an eddy current model. Assumes that the magnetic flux variation induces two electromotive forces to the plate; one due to the time‐varying magnetic field and the other to the plate movement in the steady magnetic field. Considers two equivalent LR circuits and notes that the superposition of their currents yields the total circulating current in the plate. Couples this electromagnetic model to the one‐dimensional beam bending model, adopted for the structural analysis of the problem and derives the system of the coupled electromagnetic‐mechanical equations. Calculates analytically some of the parameters involved in these equations so that the numerical computation of the remaining unknowns is very rapid. Concludes that the results are in agreement with the experiment and with results obtained by numerical methods treating, in three dimensions, the electromagnetic aspects of the problem. Notes that the fully numerical methods are very much CPU time consuming.

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COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, vol. 15 no. 2
Type: Research Article
ISSN: 0332-1649

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Article
Publication date: 1 January 1988

Larry R. TURNER

A series of six workshops was held to compare eddy current codes, using the six benchmark problems described in the following six papers. The problems include transient and…

48

Abstract

A series of six workshops was held to compare eddy current codes, using the six benchmark problems described in the following six papers. The problems include transient and steady‐state ac magnetic fields, close and far boundary conditions, magnetic and non‐magnetic materials. All the problems are based either on experiments or on geometries that can be solved analytically. The workshops and solutions to the problems are described. Results show that many different methods and formulations give satisfactory solutions, and that in many cases reduced dimensionality or coarse discretization can give acceptable results while reducing the computer time required.

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COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, vol. 7 no. 1/2
Type: Research Article
ISSN: 0332-1649

Available. Open Access. Open Access
Article
Publication date: 10 June 2024

Krishna Moorthy, Lin Runxuan, Loh Chun T'ing and Kwang Jing Yii

The purpose of this study is to examine the variables affecting college students’ consumption behaviour in the context of the internet celebrity economy and the We Media…

1025

Abstract

Purpose

The purpose of this study is to examine the variables affecting college students’ consumption behaviour in the context of the internet celebrity economy and the We Media environment.

Design/methodology/approach

In this study, five independent variables − perceived ease of use, perceived usefulness, attitude, We Media environment and internet celebrity marketing, as well as one mediating variable, consumption intention, are used to analyse college students’ consumption behaviour.

Findings

This study concluded that all five independent variables have positive relationships with the consumption intention and that the consumption intention also has a positive relationship with the consumption behaviour.

Originality/value

This study expanded the technology acceptance model and theory of planned behaviour model, which could provide insights for future research on consumption intention and behaviour. In addition, this study gives guidance for businesses considering to join this new industry in the internet celebrity economy.

Details

Journal of Responsible Production and Consumption, vol. 1 no. 1
Type: Research Article
ISSN: 2977-0114

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Article
Publication date: 19 June 2023

Sunil Kumar Jauhar, B. Ripon Chakma, Sachin S. Kamble and Amine Belhadi

As e-commerce has expanded rapidly, online shopping platforms have become widespread in India and throughout the world. Product return, which has a negative effect on the…

962

Abstract

Purpose

As e-commerce has expanded rapidly, online shopping platforms have become widespread in India and throughout the world. Product return, which has a negative effect on the E-Commerce Industry's economic and ecological sustainability, is one of the E-Commerce Industry's greatest challenges in light of the substantial increase in online transactions. The authors have analyzed the purchasing patterns of the customers to better comprehend their product purchase and return patterns.

Design/methodology/approach

The authors utilized digital transformation techniques-based recency, frequency and monetary models to better understand and segment potential customers in order to address personalized strategies to increase sales, and the authors performed seller clustering using k-means and hierarchical clustering to determine why some sellers have the most sales and what products they offer that entice customers to purchase.

Findings

The authors discovered, through the application of digital transformation models to customer segmentation, that over 61.15% of consumers are likely to purchase, loyal customers and utilize firm service, whereas approximately 35% of customers have either stopped purchasing or have relatively low spending. To retain these consumer segments, special consideration and an enticing offer are required. As the authors dug deeper into the seller clustering, we discovered that the maximum number of clusters is six, while certain clusters indicate that prompt delivery of the goods plays a crucial role in customer feedback and high sales volume.

Originality/value

This is one of the rare study that develops a seller segmentation strategy by utilizing digital transformation-based methods in order to achieve seller group division.

Details

Journal of Enterprise Information Management, vol. 37 no. 2
Type: Research Article
ISSN: 1741-0398

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Article
Publication date: 20 March 2024

Nisha, Neha Puri, Namita Rajput and Harjit Singh

The purpose of this study is to analyse and compile the literature on various option pricing models (OPM) or methodologies. The report highlights the gaps in the existing…

115

Abstract

Purpose

The purpose of this study is to analyse and compile the literature on various option pricing models (OPM) or methodologies. The report highlights the gaps in the existing literature review and builds recommendations for potential scholars interested in the subject area.

Design/methodology/approach

In this study, the researchers used a systematic literature review procedure to collect data from Scopus. Bibliometric and structured network analyses were used to examine the bibliometric properties of 864 research documents.

Findings

As per the findings of the study, publication in the field has been increasing at a rate of 6% on average. This study also includes a list of the most influential and productive researchers, frequently used keywords and primary publications in this subject area. In particular, Thematic map and Sankey’s diagram for conceptual structure and for intellectual structure co-citation analysis and bibliographic coupling were used.

Research limitations/implications

Based on the conclusion presented in this paper, there are several potential implications for research, practice and society.

Practical implications

This study provides useful insights for future research in the area of OPM in financial derivatives. Researchers can focus on impactful authors, significant work and productive countries and identify potential collaborators. The study also highlights the commonly used OPMs and emerging themes like machine learning and deep neural network models, which can inform practitioners about new developments in the field and guide the development of new models to address existing limitations.

Social implications

The accurate pricing of financial derivatives has significant implications for society, as it can impact the stability of financial markets and the wider economy. The findings of this study, which identify the most commonly used OPMs and emerging themes, can help improve the accuracy of pricing and risk management in the financial derivatives sector, which can ultimately benefit society as a whole.

Originality/value

It is possibly the initial effort to consolidate the literature on calibration on option price by evaluating and analysing alternative OPM applied by researchers to guide future research in the right direction.

Details

Qualitative Research in Financial Markets, vol. 16 no. 5
Type: Research Article
ISSN: 1755-4179

Keywords

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