YMCA University of Science and Technology

About: YMCA University of Science and Technology is a education organization based out in Faridabad, India. It is known for research contribution in the topics: Web crawler & Web page. The organization has 299 authors who have published 568 publications receiving 4547 citations.

Modelling the attributes affecting design and implementation of agile manufacturing system

Abstract: Today's volatile market, which is influenced by global competition and changing customers' demands, has made the manufacturing companies to look for new manufacturing systems which can fulfil their requirements for global competition. Agile manufacturing systems (AMSs) are those systems which are capable to meet the requirements of modern manufacturing industries. But adoption and implementation of AMSs is not an easy task. There are certain attributes which not only influence the implementation process but also influence each other. The main objective of this paper is to identify and analyse these attributes. In the present work, these attributes have been identified through the literature, their ranking is done by a questionnaire-based survey and fuzzy agility evaluation (FAE) approach has been utilised in analysing their mutual interaction.

Effect of heat input on dilution and heat affected zone in submerged arc welding process

Abstract: Submerged arc welding (SAW) is a fusion joining process, known for its high deposition capabilities. This process is useful in joining thick section components used in various industries. Besides joining, SAW can also be used for surfacing applications. Heat Affected Zone (HAZ) produced within the base metal as a result of tremendous heat of arc is of big concern as it affects the performance of welded/surfaced structure in service due to metallurgical changes in the affected region. This work was carried out to investigate the effect of polarity and other SAW parameters on HAZ size and dilution and to establish their correlations. Influence of heat input on dilution and heat affected zone was then carried out. Four levels of heat input were used to study their effect on % dilution and HAZ area at both the electrode positive and electrode negative polarities. Proper management of heat input in welding is important, because power sources can be used more efficiently if one knows how the same heat input can be applied to get the better results. Empirical models have been developed using statistical technique.

Porosity exploration of SMA by Taguchi, regression analysis and genetic programming

Abstract: Porosity plays a vital role in the field of bio-medical engineering of implantations i.e. orthopedic and orthodontics. Shape memory alloys exhibit a greater strength with a higher porosity. The strength of porous shape memory alloys were found similar to the strength of bones. In the present research, NiTi SMA is fabricated by powder metallurgy process. The processing parameters of sintering and compaction (i.e. compaction pressure, sintering temperature and sintering time) play an important role in the porosity investigation of SMA. Taguchi’s method based $$\hbox {L}_{9}$$ orthogonal array was selected for the planning of experiments. Sintering temperature and sintering time were the significant process parameters as compared to compaction pressure. Regression coefficients and equation was derived by use of regression analysis. Further this equation was solved with the help of genetic programming and results of both (i.e. Taguchi’ method and genetic programming) were compared to find the maximum porosity. The maximum porosity that can be achieved is 56 % and the confirmation experiments were performed at 95 % confidence level.

Availability analysis and performance optimization of a butter oil production system: a case study

Abstract: This paper proposes a method for time dependent system availability (TDSA) analysis of butter oil production system and the performance of the system is optimized using genetic algorithm. The mathematical formulation of the system based on Markov birth–death process is carried out and first order Chapman–Kolmogorov differential equations are developed based on the assumption that the failure and repair rate of each subsystem follows exponential distribution. The proposed method i.e. an adaptive step-size control Runge–Kutta method is used to compute TDSA and mean time between failures for butter oil production system of a dairy plant. The butter oil production system is a complex system and comprises of seven repairable subsystems. The results are presented and discussed with the plant personnel to adopt and practice suitable maintenance policies/strategies to enhance the productivity and quality of butter oil.