Papers by Author: Muhammad Riza

Abstract: The extraordinary swimming capacity of fish in nature makes them unique among Allah's creations. It is extremely difficult for a robotic system to achieve fish-like swimming behaviors, especially in terms of swimming performance. Many fish use their pectoral fins to provide thrust over a wide speed range and to carry out tricky maneuvers. In this paper, we report a robotic fish that can travel forward and backward using its propulsion system. In this report, the creation of a conceptual design for an interactive fish robot took into account a number of factors, including swimming ability, leakage testing, and motion controller. This needed considerable mechanical design work, and the result is a quick-return mechanism for the fish's body. We made the decision to divide the body into the head, body, and tail. In order to create the propulsion system, we employed five servo motors. Finally, controlling the robot's motion is absolutely essential, especially if there is an obstruction in its path. The servo controller, which is located at the fish's head, serves as the primary controller for all of the motors and sensors.

Abstract: The application of artificial intelligence (AI) in the manufacturing and service industries has witnessed rapid advancements in recent years. One prominent aspect is the utilization of Natural Language Processing (NLP) to facilitate human-machine interactions and enhance efficiency and user experience. This journal explores the implementation of NLP in the context of the manufacturing and service industry, focusing on the skateboard monitoring device. We demonstrate how NLP can improve analysis, prediction, and personalization in skateboard production, providing users with a more interactive and informative experience.

Abstract: Solid polymer electrolyte (SPE) produces hydrogen and oxygen from pure water uses electrochemical reaction, and this process is believed to be the most promising and efficient way to produce hydrogen. For application and simulation, the electrical model of SPE is absolutely required, we intend to develop an electrical model. Where the model has been constructed based on the structure and characteristics of SPE. The electrical model of SPE battery like that consists of a voltage and resistance, that fulfil the equation v=1.936+ 0.0183I-0.013T, to ensure that this model is close to the character of the SPE, we conducted an experiment to validate it, based on the correlation analysis method we obtained those results of the experiment and results of calculation of the model have a correlation is > 0.9988, this meaning that the model is valid.

Abstract: We investigate the characteristics of polycrystalline Silicon (poly-Si) thin films for solar cells produced by very high frequency (VHF) plasma enhanced chemical vapor deposition using a conductive scanning probe microscope (SPM). We measure the surface morphology and local current images are simultaneously of the poly-Si layers with a thickness, d=2 mm, formed on textured Ag/SnO₂/glass in the range of RMS based-textured substrate (a) s=85nm, (b) s=42nm and (c) s=2nm respectively. Influences of the substrate texture on the crystal growth as well as the local current flow are discussed. Where we found that the average of local current proportional with crystallinity, where the poly-Si layer that has rich crystallinity indicated low conductivity that yield high local current.

Abstract: In machining operation of mould cavities, the tool travels in various straight and corner profiles following predetermined toolpath. Such condition results in a fluctuation of cutting forces that may produce bad surface finish. The objective of this study is to investigate the most influential parameters on cutting operation for both straight and corner profiles of pocketing operation. Cutting speeds of 150, 200 and 250m/min, feedrates from 0.05, 0.1, 0.15 mm/tooth and depths of cut of 0.1, 0.15 and 0.2 mm were selected for the cutting processes. Taguchi L9 orthogonal array with Pareto ANOVA analysis was employed to analyze the effects of the selected parameters. The result demonstrates there are different effects of cutting parameters on cutting forces for straight and corner profiles. Furthermore, it was found that cutting speed and feedrate are prevailing factors that affected cutting forces for both types of profile.

Abstract: Cutting temperature generated during high speed machining operations has been recognized as major factors influence tool performance and workpiece geometry. This paper aims to model the cutting temperature and to investigate cutting temperature behaviours when contour-in tool path strategy applied in high speed end milling process. The experiments were carried out on CNC vertical machining center by involving PVD coated carbide inserts. Cutting speed, feed rate and depth of cut were set to vary. Results obtained indicate that cutting temperature is high in the initial stage of milling and at the corners region or turning points region. Portion of radial width of cut with workpiece in combination with the abrupt change of the milling path direction occur particularly in acute internal corners of a pocket leads to rise of cutting temperature.

Abstract: The aim of the present study is to investigate the influence of cutter engagement on cutting forces in end milling process of AISI H13 (48 HRc). The experiments were carried out on CNC vertical machining center. The machining conditions are as follows: V_c = 150, 200 and 250 m/min, f_z = 0.05, 0.1 and 0.15 mm/tooth; a = 0.1, 0.15 and 0.2 mm for every cutting process. Central Composite Design with 20 runs was employed. Data analysis showed that cutter engagement influence the cutting force for the end milling process of hard material H13 in the same pattern to the similar experiment of different material. The present study of cutter engagement will be useful in tool path creation which is important for mold and die machining. The cutter engagement study related to cutting force in high speed end milling of AISI H13 has not yet been established. This study will help the NC programmers in choosing the suitable tool path that will give stable, productive, and more efficient milling process

Abstract: Friction Stir Welding (FSW) is getting its popularity because it is considered as an environmentally friendly manufacturing. Homemade FSW tool to be attached to a conventional milling machine was designed and fabricated. Experimental investigation of FSW process of the Aluminum alloy work piece to observe its heat generation was performed. Since heat generation is the main objective in a FSW process, the importance of identification of heat generation performance in a welded specimen is paramount. Heat generation of a welded specimen during FSW was measured using infra red thermal camera. The limitation of the measurement is it only captured the heat generation at surrounding area and surface of the welded specimen. Therefore, the heat generation inside contact area could not be identified. To overcome this problem, a finite-element model of the FSW process was developed. A model consists of a solid model of half the welded specimen since the symmetrical behavior of the geometry and boundary condition was assumed. Heat transfer analysis of a solid body model of a work piece was computed. It was observed that FSW parameters which involved dominantly in the heat generation were spindle speed, feeding rate and normal force. The heat generation model of FSW process was validated with the one from the experimental investigation. Good agreement between the numerical and the experimental investigation result has been made.

Abstract: Surface roughness affects the functional attributes of finished parts. Therefore, predicting the finish surface is important to select the cutting levels in order to reach the required quality. In this research an experimental investigation was conducted to predict the surface roughness in the finish end milling process with higher cutting speed. Twenty sets of data for finish end milling on AISI H13 at hardness of 48 HRC have been collected based on five-level of Central Composite Design (CCD). All the experiments done by using indexable tool holder Sandvick Coromill R490 and the insert was PVD coated TiAlN carbide. The experimental work performed to predict four different roughness parameters; arithmetic mean roughness (Ra), total roughness (Rt), mean depth of roughness (Rz) and the root mean square (Rq).

Abstract: In finishing end milling, not only good accuracy but also good roughness levels must be achieved. Therefore, determining the optimum cutting levels to achieve the minimum surface roughness is important for it is economical and mechanical issues. This paper presents the optimization of machining parameters in end milling processes by integrating the genetic algorithm (GA) with the statistical approach. Two objectives have been considered, minimum arithmetic mean roughness (Ra) and minimum Root-mean-square roughness (Rq). The mathematical models for the surface roughness parameters have been developed, in terms of cutting speed, feed rate, and axial depth of cut by using Response Methodology Method (RSM). Due to complexity of this machining optimization problem, a multi objective genetic algorithm (MOGA) has been applied to resolve the problem, and the results have been analyzed.