Open Access Original Research Article

Analysis of Traffic Accident Severity at Intersection Using Logistic Regression Model

Yao Tzu Hsu, Shun Chi Chang, Tzu Hsin Hsu

Journal of Engineering Research and Reports, Page 1-9
DOI: 10.9734/jerr/2020/v13i417106

Accident severity analysis is an important issue in the field of traffic safety study, and intersections are also locations of relatively high accident rates in the roadway network. Therefore, the main purpose of this study is to establish a prediction model of intersection severity based on the binary logistic regression model of data mining technology. The data source of intersection accident is obtained from the Taichung City Police Department in Taiwan in 2018 and there are 27461 valid samples. The dependent variable is the severity of intersection accident. The independent variables include 9 variables such as month, time of accident, weather condition, light conditions, road type, road surface condition, traffic control type, accident type and vehicle type, and are analyzed by the forward selection (Wald). The research results show that time of accident, road surface condition, accident type and vehicle type have significant effects. The confusion matrix is used to verify the reliability of the model, and the results can be used as the references for reducing the degree of accident injury at the intersection in the future.

Open Access Original Research Article

Wire Shorting Elimination through Wirebond Process Optimization of Semiconductor Sensor Device

Anthony Moreno, Edwin Graycochea Jr., Frederick Ray Gomez

Journal of Engineering Research and Reports, Page 10-14
DOI: 10.9734/jerr/2020/v13i417108

New and upcoming semiconductor devices and technologies are getting more challenging in assembly manufacturing process due to many factors such as complex package layout, process capability and critical bill of materials. This paper focused on the mitigation of the top major assembly reject of a semiconductor sensor device, that is the wire-to-wire shorting issue at wirebonding process. Parameter optimization particularly the looping segment 1 parameter, as well as using a reverse stitch on ball (RSOB) were employed to eliminate the wire-to-wire defect in wirebonding process. Finally, with the process optimization and improvement, a reduction of 98 percent wire-to-wire shorting occurrence was attained.

Open Access Original Research Article

Design and Construction of Electric Fish Smoking Kiln Using Locally Available Composite Materials

Ogundana Odunayo Seyi, Abdulkadri Abdulakeem, Jibril Danladi, Owa Taiwo Wumi

Journal of Engineering Research and Reports, Page 15-21
DOI: 10.9734/jerr/2020/v13i417109

The design and construction of low cost electric fish smoking kiln was undertaken with the aim of improving the existing fish-smoking kiln. The newly constructed kiln was made using locally available composite materials and technologies sourced locally. The kiln consists of smoking kiln chamber, heating elements, a variable thermostat, lagging materials of insulating clay wall which has a duration of not less than five years and metal frame made of angle iron on which the fish tray, oil collector pan were assembled. The production cost of the electric fish-smoking kiln is one hundred thousand naira compare with mechanical ones that cost within the range of three hundred thousand and four hundred thousand naira excluding transportation charges.

Open Access Original Research Article

Overcoming Effects from Environmental Temperature on the Natural Frequencies of Cable-strut Structures

Nasseradeen Ashwear, Haithem Elderrat, Mahmud A. Eljaarani

Journal of Engineering Research and Reports, Page 22-30
DOI: 10.9734/jerr/2020/v13i417110

The changes in dynamic properties such as natural frequencies and mode shapes are used in vibration health monitoring as tools for assessing the structures health status. They are, however, also affected by environmental conditions like wind, humidity and temperature changes. Of particular importance is the change of the environmental temperature, and it is the most commonly considered environmental variable that influences the vibration health monitoring algorithms. This paper discusses how cable-strut structures can be designed such that their first natural frequency is less sensitive to the temperature changes. The optimization problem is solved by using a genetic algorithm. The level of pre-stress can be regulated to achieve the solution, particularly when a symmetric self-stress vector is chosen.

Open Access Original Research Article

Prediction of Weld Bead Geometry of Mild Steel Using Taguchi Technique and Multiple Regression Analysis

William E. Odinikuku, Joseph E. Udumebraye, David Atadious

Journal of Engineering Research and Reports, Page 31-46
DOI: 10.9734/jerr/2020/v13i417111

The weld bead geometry is very important in predicting the quality of weld as cooling rate of the weld depends on it. For this purpose, the Taguchi technique was applied to determine optimum process parameters of weld bead geometry in submerged arc welding. The study involves using Taguchi’s L9 orthogonal arrays to conduct nine experiments on a 6 mm plate of IS2062 grade mild steel by using SKU MIL-SubArc AC/DC submerged arc welding machine with constant voltage. Three-levels of the four process parameters- arc voltage, welding current, welding speed and electrode stick out were considered and their effect on weld bead geometry−bead width, depth of penetration and weld reinforcement was observed. The signal to noise ratios was computed to determine the optimum parameters. From the results obtained, optimum process parameters of ,  and  was suggested for weld bead width, weld penetration and weld reinforcement respectively. Regression analysis is done to establish the relationship between the input parameters and geometrical parameters of weld bead. The proposed mathematical model can be used to predict bead width, weld penetration and weld reinforcement values for any given SAW welding conditions.