Analysis of Radial Strain Distribution in the Metal Spinning Process by Taguchi Approach

2012 ◽  
Vol 472-475 ◽  
pp. 719-722
Author(s):  
Peter Šugár ◽  
Jana Šugárová ◽  
Peter Zemko

The paper presents the results of radial strain distribution measurement throughout the part after multi-pass conventional metal spinning by the circle grid analysis method. The influence of the mandrel speed, workpiece geometry and planar anisotropy of material on the radial strain was studied. For experiment design, an orthogonal array L27 was used and ANOVA (Analysis of Variance) was carried out. Based on the results it is determined that the sequence of factors affecting radial strain corresponds to geometry of spun part, mandrel speed, planar anisotropy of the sheet. In particular, it is found that the workpiece geometry (specific areas of spun part: mandrel/workpiece radius, conical area, cylindrical area) is the most important factor which influences the radial strain of the spun part.

Author(s):  
H R Beni ◽  
Y T Beni ◽  
F R Biglari

Spinning process is an advanced plastic working method, which is frequently used for manufacturing of axisymmetric shapes, especially those that cannot be easily produced with deep drawing method. In this article, a three-dimensional explicit finite-element (FE) analysis is employed to simulate the spinning process of an aluminium circular sheet. To achieve a wide range of strain distribution in different directions, a hemispherical cup has been chosen as the final product shape. In addition, a theoretical shear forming as well as a conventional model has been employed to estimate strain distribution in the spinning hemispherical cup. Experimental tests are carried out using a spinning machine and a hemispherical mandrel. Finally, FE and theoretical calculations are compared with the experimental results. A good agreement has been demonstrated between numerical and experimental results but a relative agreement with theoretical calculations.


2018 ◽  
Vol 2 (3) ◽  
pp. 59 ◽  
Author(s):  
Mohamed Abd-Alrazzaq ◽  
Mahmoud Ahmed ◽  
Mohamed Younes

The geometrical accuracy of multi-pass sheet metal spinning products is crucial in many applications. Aerospace, petroleum, and chemical industries motivated the development of modern spun components of complicated shapes with special functionality, but a substantial research lag exists behind this progress. Due to the localized plastic deformation involved, careful control of dimensions and form is required in spinning procedures. In this study, two sets of experiments were implemented for cup manufacturing using a retrofitted computer numerically controlled (CNC) spinning machine to identify the critical factors affecting product geometry and reveal their influence on the shape accuracy of the spun cups. The first set is a screening experiment to determine the most significant parameters and the second provides the optimum processing conditions affecting cup quality. The feed ratio, number of spin-forming passes, spinning ratio, and lubrication were found to have the most important effect on the geometry of the spun cups. Optimum quality with a higher processing speed (productivity) was achieved under a lubricated condition using a larger number of spin-forming passes at a high feed ratio, diminishing the commonly adopted rule of slow spinning for accurate products and reflecting a significance for state-of-the-art spinning practice. The findings of this paper introduce a basis for a spinning quality database.


2013 ◽  
Vol 652-654 ◽  
pp. 2006-2009 ◽  
Author(s):  
Peter Šugár ◽  
Jana Šugárová ◽  
Ján Petrovič

The paper brings the results of roughness analysis of formed part produced by CNC multi-pass conventional metal spinning. The influence of the spindle speed, workpiece geometry and planar anisotropy of the blank on the formed part roughness was studied. For experiment design, an orthogonal array L27(313) was used and ANOVA (Analysis of Variance) was carried out. Based on the results it is determined that the higher spindle speed leads to rough surface finish. The surface roughness measured in different areas of experimental samples (corner R10, conical area, cylindrical area) indicates that the worst surface finish is in the conical area. Roughness in different directions refer to the sheet rolling direction shows minimal differences.


2018 ◽  
Vol 5 (2) ◽  
pp. 99-105
Author(s):  
Thanapauge Chamaratana ◽  
Thawatchai Sangseema

Abstract The tendency of migration of Lao workers to Thailand is likely to increase especially migration pattern is social network. The objective of this research was to study factors effecting the migration through social network of Lao workers in Udon Thani. Qualitative research method was applied in the study. Unit of analysis was group level. In-depth interview guideline was applied to collect data from 15 Laotian workers. The research site was Udon Thani, Thailand. Participatory observation and non-participatory observation were use for additional data collection. The ATLAS.ti programme was applied to categorize data, and data analysis was based on the content analysis method. The research results showed that the crucial push factors which contributed migration among Laotian workers included Udon Thani Unemployment in residency, and low revenue in residency and important pull factors include higher compensation, worker demand of establishments in Udon Thani province, Laotian employers' values in Udon Thani, and social network of Laotian workers in destination.


2018 ◽  
Vol 227 ◽  
pp. 02017
Author(s):  
Jianchang Lu ◽  
Dandan Xing

In view of the change in the profit model of the power grid under the new power reform, If grid companies want to improve their economic efficiency, they must expand the scale of effective assets of fixed assets and increase the number of effective assets within the understanding of the demand for electricity.By determining the factors affecting the power grid investment in the new environment,a risk model for the power grid investment under the new power reform is constructed.First,this paper uses the set pair analysis method algorithm and derives the relevant formula to quantify uncertainties in grid investment risk.Then,it gets the results of the calculation of the degree of connection of each scheme and combine set pair events with a net present value less than 0 for each set evens.At last,based on the above results,we get the best investment plan.Verified by the case of the HBN grid company,it shows that the investment risk model established is feasible and can provide an appropriate reference for the new power companies to change their investment decisions.


Author(s):  
Wan Nur Sa’adah Surianshah ◽  
Lai Wei Sieng ◽  
Norlida Hanim Mohd Salleh ◽  
Siti Hajar Mohd Idris ◽  
Hawati Janor

Sektor perladangan kelapa sawit merupakan sektor yang sangat penting dalam industri pertanian dan merupakan penyumbang terpenting kepada ekonomi Malaysia. Namun begitu, isu tenaga buruh di sektor ini sering diperkatakan kerana masih berintensif buruh. Penyertaan golongan belia dalam sektor perladangan kelapa sawit adalah kurang memberangsangkan berbanding sektor lain walaupun sektor ini menawarkan peluang pekerjaan yang lebih luas. Oleh sebab itu, kajian ini bertujuan untuk mengenal pasti golongan belia yang lebih bersedia untuk melibatkan diri dalam sektor perladangan kelapa sawit berdasarkan faktor demografi mereka. Borang soal selidik digunakan bagi mengumpul data daripada responden yang terdiri daripada golongan belia berusia 18 hingga 35 tahun. Seramai 724 orang responden yang telah menjawab soal selidik ini mewakili setiap negeri di Malaysia. Data yang dikumpul dianalisis menggunakan kaedah analisis faktor dan model regresi logistik. Hasil kajian menunjukkan bahawa faktor jantina, bangsa, tempat tinggal, pengalaman, dan penglibatan ahli keluarga dalam sektor perladangan kelapa sawit merupakan faktor yang menyumbang kepada kesediaan belia untuk melibatkan diri dalam sektor tersebut. Faktor gaji, faedah, persekitaran kerja dan keselamatan perlu ditambah baik bagi menarik lagi minat golongan belia untuk melibatkan diri dalam industri pertanian negara khususnya di sektor perladangan kelapa sawit.   Abstract The oil palm plantation sector is a very important sector in the agricultural industry and is a major contributor to the Malaysian economy. However, the issue of labour in this sector is often addressed as it is labour-intensive. The participation of youths in the oil palm plantation sector is less favourable than the other sector although it offers greater employment opportunities. Therefore, this study aimed to identify youths who are better prepared to participate in the oil palm plantation sector based on their demographic factors. The questionnaire was used to collect data from respondents in the age range of 18 to 35 years. A total of 724 respondents answered this questionnaire representing each state in Malaysia. The data collected were analysed using the factor analysis method and logistic regression model. The results show that the gender, race, residence, experience and involvement of family members in the oil palm plantation sector are factors contributing to youths’ readiness to participate in the sector. Factors such as salary, benefits, work environment and safety factors need to be improved to attract more youths to participate in the agricultural industry, especially in the oil palm plantation sector. Keywords: Youth, labour force, oil palm, demographic factors, logistic regression.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tayebeh Nikraftar ◽  
Elahe Hosseini ◽  
Elham Mohammadi

PurposeTechnological entrepreneurship has been a very significant topic in recent decades. It has a crucial role in economic modernization and growth. The need for technological entrepreneurship is because technology-based industries are expanding rapidly and are replacing traditional industries. Therefore, this study aimed at identifying the factors affecting the success of technological entrepreneurship in Iranian nanotechnology businesses.Design/methodology/approachThe research was conducted through mixed method. The participants in the qualitative section included 17 university experts and executive managers in the field of nanotechnology in Iran, and 75 nanotechnology business managers participated in the quantitative section. The interview and questionnaire were used to collect information. In order to measure and fit the models, the confirmatory factor analysis method and PLS3 software were used.FindingsThe results indicated that the key factors affecting the success of the technological entrepreneurship process in nanotechnology were classified into five general categories: organizational, environmental, institutional, individual and technology factors. Moreover, it was shown that all these dimensions had a positive and significant effect on technological entrepreneurship. In addition, the organizational dimension has an essential role.Originality/valueCompanies' ability to engage technological entrepreneurship is a vital factor in human resource management and strategic management. However, technological entrepreneurship in Iranian nanotechnology businesses has not been involved integrally in the context of companies.


2018 ◽  
Vol 19 (12) ◽  
pp. 22-26
Author(s):  
Joanna Rymarz ◽  
Andrzej Niewczas ◽  
Ewa Dębicka

The aim of the article is to compare the operational availability of the city buses. Two popular makes of buses were analysed in the function of time of use, during the six years of operation, in the Municipal Transport Company (MPK) in Lublin. A new division of operating time for the period of full operational usefulness and period of limited operational usefulness of vehicles was presented. It was shown that the average operational availability of the analysed buses differed significantly due to the vehicle's make and also due to the service life. The ANOVA analysis method was used to assess the significance of differences.


2020 ◽  
Vol 39 (3) ◽  
pp. 2753-2761
Author(s):  
Hui Zhou ◽  
Haiping Ren

In reliability field, the probabilities of basic events are often treated as exact values in conventional fault tree analysis. However, for many practical systems, because the concept of events may be ambiguous, the factors affecting the occurrence of events are complex and changeable, so it is difficult to obtain accurate values of the occurrence probability of events. Fuzzy sets can well deal with these situations. Thus this paper will develop a novel fault tree analysis method in the assumption of the values of probability of basic events expressed with triangular intuitionistic fuzzy numbers. First, a new ranking function of triangular intuitionistic numbers is established, which can reflect the behavior factors of the decision maker. Then a novel fault tree analysis method is put forward on the basis of operational laws and the proposed ranking function of triangular intuitionistic numbers. Finally, an example of weapon system “automatic gun” is employed to show that the proposed fault tree analysis method is feasible and effective.


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