Tag Archives: ANOVA

Mathematical Modelling Of Derived Energy Content from Moisture Content of Palm Kernel Tree (Published)

It is important to model out the optimization of energy process of palm kernel tree so as to evaluate the optimal values of the energy content parameters which will determines the performance and the useful lifespan of the palm kernel tree. This present study aims to develop models to investigate the effect of moisture content on the energy content of palm kernel tree that are 10 years and 20 years old using regression technique. In order to check the adequacy of the regression model, analysis of variance (ANOVA) was used. The experimental results are based on adequate laboratory methodology to increase the reliability of the experiments. It was clear from the ANOVA that the regression model is capable to predict the energy content with high accuracy.

Keywords: ANOVA, Energy content, Moisture Content, Palm kernel tree, Regression

Minimization Comparison of Surface Roughness Drilling Value of Mild Steel, Stainless Steel and Brass: An Application of One-Way Anova Technique (Published)

The study investigated on minimization comparison of surface roughness drilling value of mild steel, stainless steel and brass using one-way analysis of variance (ANOVA) technique so as to check for significant difference between the workpiece in their value of surface roughness using the same process parameters irrespective of their material properties. The experimental data used in the comparison were conducted nine (9) times for each of the workpiece. The descriptive statistics and the Tukey post hoc test of the ANOVA revealed that there were no statistically significant differences between the minimization surface roughness value of mild steel, stainless steel and brass. The result implies that irrespective of the material properties of the workpiece under the same process parameters condition, there are equal significant variation of surface roughness on mild steel, stainless steel and brass. The study concludes that regardless of the material properties for machining investigation using the same parameters, it is possible to have the same quality effect of surface roughness in terms of it minimization target.

Keywords: ANOVA, Comparison, Drilling, Minimization, Surface Roughness

Minimization Comparison of Surface Roughness Drilling Value of Mild Steel, Stainless Steel and Brass: An Application of One-Way Anova Technique (Published)

The study investigated on minimization comparison of surface roughness drilling value of mild steel, stainless steel and brass using one-way analysis of variance (ANOVA) technique so as to check for significant difference between the workpiece in their value of surface roughness using the same process parameters irrespective of their material properties. The experimental data used in the comparison were conducted nine (9) times for each of the workpiece. The descriptive statistics and the Tukey post hoc test of the ANOVA revealed that there were no statistically significant differences between the minimization surface roughness value of mild steel, stainless steel and brass. The result implies that irrespective of the material properties of the workpiece under the same process parameters condition, there are equal significant variation of surface roughness on mild steel, stainless steel and brass. The study concludes that regardless of the material properties for machining investigation using the same parameters, it is possible to have the same quality effect of surface roughness in terms of it minimization target.

Keywords: ANOVA, Comparison, Drilling, Minimization, Surface Roughness

Investigating Optimum Parameter Required for Drilling Mild Steel Using Response Surface Methodology (Published)

The study investigated on optimum parameters required for drilling mild steel using Response Surface Methodology (RSM) based on L9-A 34-2 fractional factorial design. The mild steel workpiece is of dimension of 200 mm by 80 mm with a thickness of 1.5 mm. The study employed the following process parameters namely, cutting speed, feed, depth of cut and tool for minimizing surface roughness of mild steel. Vertical pillar drilling machine of METALIK PK203 model was used for the drilling operation and coupling ultrasonic thickness meter of TM-8810 model was also used to measure the surface roughness of the workpiece after drilling. Analysis of Variance (ANOVA) was carried out to test for the significant level of the process parameters for optimizing surface roughness. The findings revealed that the process parameters has a high significant effect in influencing the response variable at 5% significant level and that optimum process parameters can be achieved at an intermediate level during drilling operation. The findings also revealed that there exist a good agreement between the estimated and experimental results based on the mathematical model formulated.

Keywords: ANOVA, Mild steel., Response Surface Methodology (RSM), Surface Roughness, process parameters

A COMPARATIVE ANALYSIS OF CUSTOMER SATISFACTION RATINGS OF TELCO PRODUCTS AND SERVICES AMONG UDS STUDENTS IN GHANA (Review Completed - Accepted)

This study seeks to assess overall customer satisfaction and loyalty as well as sustainability of products and service quality delivered by Mobile Telecommunication Network and Vodafone to students of University for Development Studies. The problem of this study was whether customers are satisfied with Telco service delivery in Ghana. Specifically, this study sets out to figure out various Telco products and services offered to customers, examine the sustainability of the company’s products and services and to look at the marketing strategies and mechanisms put in place to satisfy and maintain customers. The main research designs used for the study were survey and case study. A Structured questionnaire was used to collect data from hundred (100) individual subscribers selected from the two Telecom groups via cluster and simple random sampling procedures. Descriptive statistics and one way Analysis of Variance were used for the data analysis. The findings indicated that irrespective of mobile telecom network on University for Development Studies Tamale Campus, customer satisfaction was low; neither equal to nor better than desire and expectation of customers. Overall Customer Satisfaction ratings among subscribers of Mobile Telecommunication Network in University for Development Studies significantly differ and that relatively, customers of Mobile Telecommunication Network rated their satisfaction with service quality higher than those of Vodafone. The management of Mobile Telecommunication Network and Vodafone would need to develop strategies to deal with the customer dissatisfaction. The research contributes to the body of knowledge in the area of Customer Satisfaction in the Ghana’s Telco groups and provides important managerial implications.

Keywords: ANOVA, Comparative Analysis, Customer Satisfaction Ratings, UDS Students

Experimental investigation of turning process parameters using Taguchi Method for mild steel (Review Completed - Accepted)

The Optimization of Multi response is now-a-days mostly used optimization technique which is better than single response optimizing technique because all the output is affected at a time by all the input factors .The objective of this project work is to determine the optimal setting of cutting parameters (speed(N)m/min , depth of cut(d) mm , feed(f)mm/rev, Nose Radius(r)mm) to minimize surface roughness(Ra) . In this work, Ferrous (Mild Steel) workpiece and Non-Ferrous (Aluminium) work pieces are turned on automatic HMT lathe by using High Speed Steel tool. . In order to produce any product with desired quality by machining, proper selection of process parameters is essential. This can be accomplished by Taguchi approach. This study highlights use of Taguchi experiment design to optimize the multi response parameters on turning operation. For this experiment Taguchi design of experiment was carried out to collect the data for surface roughness. The results indicate the optimum values of the input factors and the results are conformed by a confirmatory test

Keywords: ANOVA, S/N ratio, Taguchi technique, optimization, process parameters, turning process