Jurnal Teknik Mesin Mechanical Xplore

The Box-Behnken Response Surface Methodology Approach to Optimize Tensile Strength Load in Resistance Spot Welding Using SPCC-SD Steel

2024-01-15T19:27:27+07:00

This article describes an experimental investigation into optimizing spot welding resistance (RSW) using a spot-welding machine equipped with a dual-electrode Pressure Force System (PFS). The optimization procedure entails the incorporation of SPCC-SD (JIS G 3141), a low-carbon steel that finds extensive application in the automotive sector. With the widespread use of SPCC-SD steel, RSW is an essential process in the automotive industry for assembling body components. This study employs the Box-Behnken Response Surface Methodology (Box-Behnken-RSM) to optimize the tensile strength load (TS-load), a critical parameter in RSW, through a meticulous analysis of the interplay between Holding Time, Squeezing Time, Welding Current, and Welding Time. Through the methodical design of experiments, the collection of Tensile Strength Load data, and the application of statistical modeling via RSM, this study employs SPCC-SD steel to determine the optimal values for these variables in RSW. The results above readily offer a valuable understanding of the most significant determinants and their interrelationships, thus facilitating advancements in welding methodologies and quality control in the automotive manufacturing sector. This study employs the Box-Behnken Response Surface Methodology to investigate the impacts and interrelationships of different parameters thoroughly. It aims to enhance the TS-load using SPCC-SD steel during the resistance spot welding procedure. This research contributes to advancing welding methodologies employed in the automotive manufacturing sector.

An Heat Transfer Coefficient and Pressure Characteristics in a Copper Pipe Flow System: A Preliminary study Utilizing an EG/Water Mixture

2024-01-15T19:36:22+07:00

This study investigates the performance of an ethylene glycol/water (EG/Water) fluid at a 40:60 volume ratio, a commonly used base fluid in heating and cooling systems. The evaluation focuses on analyzing heat transfer coefficients and pressure drops. The research adopts an experimental approach, utilizing a test section made of pure copper with an inner diameter of 16 mm, an outer diameter of 19 mm, and a length of 1500 mm. The volume ratio of EG/Water at 40:60 is an input parameter, along with varying fluid flow rates controlled by a valve, ranging from 2 to 18 liters per minute. Two tubular heaters with a combined capacity of 2000 W are attached to the copper pipe, regulated by a 3000 W voltage regulator. Electric current is measured with ammeters. The experimental results reveal that the heat transfer coefficient of the EG/Water fluid increases as the fluid flow rate rises. The highest heat transfer coefficient is achieved at 18 L/min, while the lowest is observed at 4 L/min. Pressure drop increases with higher flow rates, but this does not significantly affect the friction factor, as it undergoes a noticeable decrease while the Reynolds number increases.

Analysis of Transformer Oil Post-Flashover: DGA Testing and Diagnostic Approached

2024-01-17T00:27:18+07:00

Transformer oil (TO) is a coolant and insulator in transformers. Flashover contributes to the deterioration of TO, resulting in overheating oil within the transformer. Flashovers, characterized by abrupt electrical discharges in transformers, can produce gases in the insulating oil. Comprehending the alterations in gas content is vital for evaluating the well-being and state of the transformer. The gas analysis was performed utilizing the Total Dissolved Combustible Gas (TDCG), Doernenburg, and Roger's ratio method, specifically emphasizing gases obtained from the transformer oil and the gas space. The findings offer a significant understanding of the impact of flashovers on gas generation and assist in identifying potential problems within the transformer. All cycles exhibit TDCG values that surpass those of the original oil. The result of the flashover simulation conducted using BDV testing leads to an alteration in the gas composition within the TO. According to the TDCG results, the transformer is in condition I. Although the scenario arises during the actual operation of the transformer, the transformer can continue to function normally by taking certain precautions, specifically, being cautious, analyzing the presence of individual gases, and assessing the impact of the load. Both analyses conducted using the Doernenburg and Roger's ratio method conclude no evidence of any fault or error. Conducting flashover simulation through the BDV test will modify the gas composition in the oil, but it will not have any lethal consequences

The Photovoltaic Performance based on Radiation Intensity Examination using Experimental Study and Thermal Simulation

2024-03-08T09:28:48+07:00

Solar energy is a renewable energy source that can be converted into electrical energy through photovoltaic (PV) solar cells. However, the efficiency is low, with only 15-20% depending on solar irradiation converted into electricity. The angle of the sun and the structural position of the solar cell system also affect the amount of solar radiation received. Research has been carried out to determine the effect of radiation intensity on the performance of PV solar cells using experimental methods and thermal simulation. The temperature distribution of PV cells has been studied using experimental studies and thermal simulations. The highest temperature was produced at a solar radiation intensity of 1100 W/m2 of 68.4 ⸰C for the experimental study and 69.4 ⸰C for the thermal simulation study. The highest efficiency is produced at a radiation intensity of 1000 W/m2, with the highest efficiency being 11.5%. This study analyzes the impact of radiation intensity on the electrical efficiency of solar PV cells using two-way ANOVA. The radiation intensity has a P-value of 1.85E-05, which indicates an influence on the electricity produced. There is an MS value of research variation smaller than the MS error of 7.22E-07, indicating an interaction between the two variables

A Comprehensive Investigation of Deep Drawing Processes for a 2-Inch Diameter Dop-pipe Cap: Numerical and Experimental Analysis

2024-01-27T15:40:40+07:00

The persistent challenges in material forming processes arise from recurrent issues encountered during the deep drawing process, particularly involving cracks and deviations from standard thickness dimensions. This article investigates the deep drawing process using both experimental and numerical methodologies. The experimental approach employs a 40-ton capacity power press machine, while the numerical method utilizes the ABAQUS student version software. SPCC-SD (JIS G3141) is the selected material for producing a Dop-pipe 2-inch diameter pipe cap in both approaches. Noteworthy findings include the highest positive and negative correlations observed in elements E 46 and E 48, with values of 0.715 and -0.933, respectively. Minimal disparities, averaging around 4.6% for all components, were evident between the experimental and numerical methodologies. The numerical approach yielded predictive results identifying potential issues in elements E 47 and E 48. This observation did not reveal instances of tearing failure but instead showcased an increase in thickness due to a higher axial force between the dies and punched-in components. The study successfully and accurately predicted product thickness for all components, presenting a contrast with outcomes obtained through the experimental method. Furthermore, this research advances the deep drawing process, extending its applicability to broader material forming applications and ultimately enhancing overall production process efficiency.