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All Journal Jurnal Rekayasa Mesin Andalasian International Journal of Applied Science, Engineering, and Technology
Tayisepi, Nicholas
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Civil Engineering, Building, Construction & Architecture Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering Mechanical Engineering

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A Goal Programming Optimisation of Machining Parameters during the Production of Ti-Alloy Components on the CNC Lathe Tayisepi, Nicholas; Madyira, Daniel M; Tawanda, Trust; Mugwagwa, Lameck
Andalasian International Journal of Applied Science, Engineering and Technology Vol. 5 No. 2 (2025): July 2025
Publisher : LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/aijaset.v5i02.235

Abstract

This experimental study, presents results of goal programming forecasting and optimising Ti6Al4V alloy components cutting conditions. During machining the optimising challenge concerns desirability of minimalising power consumption; cutting tool wear and cutting forces whilst simultaneously realising elevated material removal rate and advancing workpiece surface quality. Cutting process parameters optimisation is essential contemplation triggering proficient manufacturing activities enhancing competitiveness. Harmonising the miscellany machining conditions such that these contradictory intentions are, simultaneously, tackled portends well for sustainability of the machining activity. In this research, outside cutting tests were carry out, on the lathe machine, with coated carbide tipped tools at various parameter setting levels. Cutting speed and feed rate were characterised against dependent factors. Mathematical Modeling, was carried out in Minitab 22.1 Software. The models were uploaded on goal programme optimiser, LINDO/LINGO software, to predict the appropriate cutting parameters for a determinate machining situation. Goal Programme simulation results, with the performance factors equally weighted, produced optimum cutting parameters, vc = 227 mmin-1 and fn = 0.2416 mmrev-1. Validation experiments confirmed applicability of goal modeling in machining planning parameter prediction. Results showed fidelity of goal programming consistency as forecasting tool for titanium cutting parameters on the CNC lathe. Future research is delineated.
Design and Development of a Dual-Mode Smart Wheelchair Prototype with Obstacle Detection for Zimbabwe Munotyaani, Savior; Bawono, Nugroho Mamayu Hayuning; Tayisepi, Nicholas; Mapindu, Innocent; Anggoro, Paulus Wisnu; Bawono, Baju; Pamosoaji, Anugrah Kusumo; Adi, Albertus Yustinus Novi Misgi Prabowo Adi
Jurnal Rekayasa Mesin Vol. 21 No. 1 (2026): Volume 21, Nomor 1, April 2026
Publisher : Mechanical Engineering Department - Semarang State Polytechnic

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jrm.v21i1.6954

Abstract

Conventional and electric wheelchairs are often unable to fully meet the needs of users with upper-body movement limitations, particularly in terms of device control and surrounding environment detection. In addition, existing smart wheelchairs are generally expensive, difficult to customize, and have not been widely accepted by users. This study aims to design a smart wheelchair that integrates voice control, joystick control, and an obstacle detection system to enhance user safety, accessibility, and independence.The design process was carried out systematically through functional decomposition, concept development, and design selection for the frame structure, control system, and motor drive circuit components. The system was developed using an Arduino microcontroller, Voice Recognition Module V3.1, HC-SR04 ultrasonic sensors, an analog joystick, and an L298N motor driver. The prototype successfully integrated two control modes with an aluminum frame capable of supporting loads of up to 150 kg. The obstacle detection system operated effectively within a 50 cm radius to automatically prevent collisions. However, the voice recognition module still encountered technical issues, such as errors during voice training, indicating the need for more reliable hardware solutions.The results demonstrate that the proposed design has significant potential to support the mobility of people with disabilities through enhanced safety features and flexible control mechanisms. Further development is required to improve the reliability of the voice recognition system and to expand the application of assistive technologies for improving users’ quality of life.
Co-Authors Adi, Albertus Yustinus Novi Misgi Prabowo Adi Anugrah Kusumo Pamosoaji, Anugrah Kusumo Baju Bawono, Baju Bawono, Nugroho Mamayu Hayuning Madyira, Daniel M Mapindu, Innocent Mugwagwa, Lameck Munotyaani, Savior Paulus Wisnu Anggoro Tawanda, Trust