International Journal of Advanced Production and Industrial Engineering (IJAPIE)Volume 4 Issue 2 


Effect of Alkaline Treatment on the Thermal Stability of Pineapple Leaf Fibers

Posted      :  10  Mar  2019 4:00 PM PST

File        :  IJAPIE-2019-04-231.pdf

Title:  Effect of Alkaline Treatment on the Thermal Stability of Pineapple Leaf Fibers

Authors: Mohit Mittal1, Rajiv Chaudhary1, *

Abstract: Recently, most of the industries are looking towards to incorporate sustainable, renewable, eco- friendly and affordable raw materials and production process. To achieve this goal, engineers and technologist are working on biocomposite material. The primary reason behind the selection of natural fiber based material in the automobile, construction, and aerospace industry is its low cost, lightweight, high specific strength and modulus, biodegradability, and friendly processing. Inspite of all beneficial features, one of the main barriers to their utilization in all mentioned sectors is thermal degradability. Natural fibers can be subjected to thermal degradation during composite processing and their application in the high-temperature field. So it is practically significant to understand the thermal decomposition of lignocellulosic fibers and to modify it for the purpose of hightemperature stability. In this work, alkaline treatment of varying concentrations (2%, 4%, 6%, 8%, and 10 wt %) was used to study the effect of alkaline treatment on thermal stability of pineapple leaf fibers. The thermal behavior of untreated and alkali treated pineapple leaf fiber was examined by using a thermal gravimetric analysis instrument (TGA). The results show that 4 wt% NaOH treated pineapple leaf fiber have maximum thermal stability. The decomposition of untreated and treated PALF was a two-stage process attributed to the thermal decomposition of hemicellulose, cellulose, and lignin. The results also showed that the temperature of initial degradation 251 0C increased to 285 0C after 4% alkaline treatment due to partial removal of hemicellulose and lignin.


Design and Analysis of an Open Differential Gear System

Posted      :  10  Mar  2019 4:00 PM PST

File        :  IJAPIE-2019-04-232.pdf

Title: Design and Analysis of an Open Differential Gear System

Authors: Subhajit Konar* , Vijay Gautam

Abstract: An automobile differential gear system is used to establish a differential motion between left and right driving axle which provides a smooth turning of the vehicle. When a vehicle takes a turn then the wheels at

outermost position requires to cover a large distance than that of the innermost wheels. This speed variation can be achieved by using a differential gear system. It also transmits the power from the propeller shaft to each axle. A rear wheel drive vehicle requires a differential at the rear axle while all-wheel drive vehicle requires differential gear system for each and every axle. In this paper, an open differential is designed for a leading automobile and analysed the ability to work without failure. The analysis was done using the modified Lewis equation, Hertzian contact stress equation and AGMA equations. The analytical results were compared with results obtained by FEA. It is observed that results obtained from Lewis criterion are more conservative as compared to AGMA. The results obtained from modified Lewis, Hertzian contact stress and AGMA are in good agreement with the results obtained from FEA.               


Modelling Crude Oil Prices Volatility in India         

Posted      :  10  Mar  2019 4:00 PM PST

File        :  IJAPIE-2019-04-233.pdf

Title: Modelling Crude Oil Prices Volatility in India         

Authors: Khyati Kathuria, Shikha Gupta, Nand Kumar

Abstract:  Crude oil is a crucial component of India’s energy basket after coal. The increasing demand for crude oil in India is met through imports. Crude oil price changes affect the social stability, economic development, and national security of the country. Therefore, it is crucial to devise suitable methods to forecast crude oil price movements accurately.Thus, the purpose of this study is to evaluate the forecasting performance of linear and non-linear time series models. In the study Box Jenkins methodology is used to obtain a best fit ARIMA and GARCH type models and further use it to forecast the crude oil (Brent) prices. The study shows that the crude oil price series is volatile over the time trend and therefore uses the GARCH class models as well which are capable of capturing volatility clustering typical of oil price series. Performance of ARIMA & GARCH class modes is then compared to find out which model better forecasts the crude oil prices. Indian economy being vulnerable to volatility in the international crude oil market requires a methodology to accurately forecast the price volatility and therefore to fill this gap this study for forecasting and studying the behavior of crude oil price series was conducted.       

Various developments in Abrasive Flow Machining Process: A Review

Posted      :  10  Mar  2019 4:00 PM PST

File        :  IJAPIE-2019-04-234.pdf

Title:  Various developments in Abrasive Flow Machining Process: A Review

Authors:  Parvesh Ali, Ranganath M.S*, R.S Walia, Q. Murtaza

Abstract: Abrasive flow machining is a nonconventional process used for polishing of metallic components, internal inaccessible cavities or recesses using a semi liquid paste. It was developed to deburr, polish the surfaces having complex geometries and edges by flowing abrasive particles with a visco-elastic non conductive media over them. Abrasive particle sharp cutting edges remove the material by abrasion mechanism from the workpiece surface. In the recent year, work has been carryout towards the development of abrasive flow machining for achieving the higher material removal and improved surface finish. This method has a unique property of simultaneous improvement in material removal and surface finish. In this paper authors discussed about various recent developments in abrasive flow machining with major objective of improving the productivity of the process


Use of Big-data analytics with the Interactive advertisement for product/service representation towards its customers

Posted      :  10  Mar  2019 4:00 PM PST

File        :  IJAPIE-2019-04-235.pdf

Title:  Use of Big-data analytics with the Interactive advertisement for product/service representation towards its customers

Authors: Harshmit Kaur Saluja*, Vinod Kumar Yadav, K.M. Mohapatra

Abstract: On the one hand, big-data analytics has brought revolution in the predictive modeler by enabling the complex data sets getting structured. On the other hand, the interactive advertisement has changed the complete scenario of the advertising sector by making advertisements content structured in such a way that it is customer-centric. The paper helps to widen the view to explore the growing urge of customization technique in advertising sector with interactive enablers. The paper further examines that how interactive advertisement and big-data has helped to represent product/service from the view of a customer and also improved the product/service performance. In order of study, exhaustive literature reviews resulting in three hypothesis are developed to take on the above-mentioned concerns.

Experimental Investigations of Magnetic Abrasive Finishing on Titanium  

Posted      :  10  Mar  2019 4:00 PM PST

File        :  IJAPIE-2019-04-236.pdf

Title: Experimental Investigations of Magnetic Abrasive Finishing on Titanium 

Authors: Shadab Ahmad, Ranganath M Singari, R S Mishra

Abstract:  Magnetic abrasive finishing (MAF) is one of the finishing processes which produces nano finished surfaces. The material removal process is in the form of microchips. The present paper introduces a novel work based on the principle of MAF for flat surfaces. The experiments were conducted on titanium material to investigate the response of MAF on hardness. Matlab has been used to evaluate the performance. The results obtained from the experimental investigations revealed that the hardness improves with MAF. The surface morphology of finished surface was studied with the help of SEM images


Microstructure and Mechanical Properties of Synthesized Aluminium Composite Using Stir Casting Process

Posted      :  10  Mar  2019 4:00 PM PST

File        :  IJAPIE-2019-04-237.pdf

Title: Microstructure and Mechanical Properties of Synthesized Aluminium Composite Using Stir Casting Process

Authors: Anubhav Coyal, N. Yuvraj, Ravi Butola*, Kapil Dev Pandey, Tusharjeet Singh Kalra

Abstract:   Aluminium is one of the most common metals in the world and its use is increasing day by day in many industries mostly in space industry and automobile industry because of its light weight and high strength capabilities. Aluminium-based alloys have great potential for cost saving application due to their light weight combine with high specific strength and corrosion resistance, as well as good castability. This paper mainly emphasis with the fabrication of Aluminium composites with SiC particles and jute ash particles. Hardness and tensile properties of the prepared Aluminium composite were determined before and after addition of SiC and Jute Ash particulates to find the extent in improvement of properties. SEM images have shown the grain boundaries formation. Results shows that the tensile strength is maximum in case of composite with SiC with value of 123MPA when compared to unreinforced 6061Al matrix with strength of 64MPa.

Leveraging the Power of Private Investor Capital: A Case of Gramiksha

Posted      :  10  Mar  2019 4:00 PM PST

File        :  IJAPIE-2019-04-238.pdf

Title: Leveraging the Power of Private Investor Capital: A Case of Gramiksha

Authors: Bhawna Mehta*, Archana Singh

Abstract: The paper explores new avenues for financing along with capacity building for a non-profit organization (Gramiksha). The study intends to find a solution to the problem of sustainable channel of revenue and funding for Gramiksha and further make it self-sufficient in the long term. In particular, the study analyses the possibility of realizing capital from investments by private investors in exchange for repayment made by the NGO in the form of return on that investment. Gramiksha is a not-for-profit organization that works in the fields of community development, child welfare, education and literature. Their 2 projects: Udaan and Dream School Project aim to fuel these goals. Here, the study calculates the return on impact and other ways in which Gramiksha can repay investors.       


Surface Roughness Prediction Model for machining O1 Die steel through EDM

Posted      :  10  Mar  2019 4:00 PM PST

File        :  IJAPIE-2019-04-239.pdf

Title:  Surface Roughness Prediction Model for machining O1 Die steel through EDM

Authors:  Jai Prakash*, Ashish Agarwal, Vipin

Abstract: Lean The objective of this paper is to generate a mathematical model in order to minimize the value of surface roughness (Ra) through EDM by constructing an objective function consisting of combination of process parameters. Taguchi orthogonal design method of experiments with three process parameters viz., current, pulse-on-rate, pulse-off-rate were used to generate 25 numbers of experiments L25 at five levels. Experiments were carried out in Electronica S50 (CNC) EDM. Data obtained for performance measurement was subjected regression analysis using ANOVA. Equation was obtained for the surface roughness as a function of current, pulse-on rate, pulse-off-rate. It is found that discharge current, pulse-on-rate, and pulse-off-rate have significant effect on the Ra. Higher values of current and pulse-on-rate increased surface roughness. Lower current, lower pulse-on-rate and relatively higher pulse-off-rate produced a better surface finish. 

Various Issues Concerning Vendor-Managed Inventory (VMI) 

Posted      :  10  Mar  2019 4:00 PM PST

File        :  IJAPIE-2019-04-240.pdf

Title:  Various Issues Concerning Vendor-Managed Inventory (VMI) 

Authors: Anurag Singh Bisht*, D.K.Singh

Abstract: The present market environment is very volatile and characterized by tough global competition. Technologies are changing rapidly with huge customer’s demand. To handle these situations, companies need to manage innumerable requests from their stakeholders. Hence, they are under immense pressure to lower their product prices and reduce their operational costs at the same time as the demand for quick, safe and flexible deliveries from customers are increasing. In order to stay competitive and remain in market, it is essentially required to learn how to meet these requirements and fulfil the expectations of customer. Sometimes vendors are better at predicting the sales of their products in distributer’s stores than the distributers. Considering this fact, vendor managed inventory (VMI) model can be a technique for providing best solution for managing orders of seasonal goods, high turn-over items or perishable products.VMI is also called continuous replenishment or supplier-managed inventory. This paper discusses about the various issues concerning about vendor-managed inventory (VMI) and emphasizing its benefits from vendors (suppliers) as well as buyers points of view.