Pusat Pengajian Kejuruteraan Mekanikal - Monograf

Browse

Now showing 1 - 5 of 825

Analysis of two mechanism for oil palm Harvester: scotch-yoke and slider crank
(2024-07-12)
Sivasangari a/p M Selvakumaran
The thesis entails a comparative analysis of two innovative mechanisms such as Scotch yoke and slider crank, integrated with an electric motor to enhance operational efficiency regarding weight reduction and minimize vibration as compared to the conventional gasoline-powered device. The overall problem addressed is laborintensive and physically demanding manual harvesting of oil palm bunches, whereby even the safety of workers is at risk. Moreover, all the existing motorized solutions are heavy, bulky, and highly vibrational, which causes fatigue to operators and loss of productivity. Overall, the development of a motorized oil palm harvester resolves inefficiency and required labor issues connected with conventional harvesting methods. This work concerns the efficacy of the slider crank mechanism and that of the scotch yoke mechanism, which are attached to a pole and sickle assembly in effecting accurate and effective palm bunch cutting. Many advantages accompany the electric motor such as light operating, less vibration, less noise, and simpler maintenance. Finite Element simulation was done instead of creating the manufacturing in this work to compare the effectiveness of both processes. With such simulations, optimum design parameters could be found to ensure that harvesters work well under any scenario. These results from the FE simulation reflect that the harvesting efficiency of both mechanisms has increased significantly, hence the motorized harvesters prove to reduce operator physical strain and increase overall production. This study, having a potential enhancement in productivity, sustainability, and safety in large-scale operations, advances agriculture mechanization by offering a side-by-side comparison between two electric motor-driven oil palm harvesting options.
Nano-indentation investigation on lead free solder interconnection prepared by microwave hybrid heating
(2024-07-05)
Sivakanesh a/l Magesvaran
The adoption of lead-free solder, specifically Sn-Ag-Cu (SAC), in electronic manufacturing was driven by concerns for human health and environmental impact. The reflow process utilized during soldering plays a significant role in the formation and growth of the intermetallic compound (IMC) layer, crucial for ensuring reliable solder and metal substrate connections. While microwave hybrid heating (MHH) presents a potential soldering approach, the long-term reliability of solder joints remains uncertain. To address this, a study was conducted to examine the impact of MHH on IMC morphology and thickness in SAC305 solder. Additionally, the mechanical properties of SAC305, such as elastic modulus and stress-strain were evaluated using nanoindentation. The obtained results were further supported by finite element modelling using ABAQUS software. The IMC structure exhibited a planar-like shape in MHH, occurring after 200s of reflow time for MHH. Besides, a comparison between the experimental results and simulation results were conducted. Comparison between the SAC305 and SAC105 solder, the temperature between SAC305, different amount of load applied in the simulation process and cyclic loading were carried out to obtain the mechanical properties of both SAC305 and SAC105.The proposed finite element modelling demonstrated good agreement with experimental data, showcasing its capability to simulate the plastic deformation behaviour during the indentation process.
Prediction of tensile strength of polymer composites using machine learning algorithms
(2024-07)
Shah Ayu Balqis binti Ismail
The project is to perform the analysis of tensile strength of polymer composites by using linear regression. Although the research focuses on future engineering applications of the work, it is underpinned by the recognition of the growing requirement for high-performance lightweight materials in numerous engineering sectors, together with the difficulty of predicting the tensile strength of these materials. Many times, the conventional techniques are incapable to identify intricate correlation between input variables and developments in the UTS and hence requires more refined procedures. Linear regression serves as another valuable method or approach that may provide a clearer insight into patterns and data correlations. The primary objective of this work is to establish an accurate predictive model, specifically linear regression, based on a large dataset to accurately estimate the tensile strength of polymer composites. The study also aims at identifying the importance of the features as well as finding relationships of the existing ones in the set with an aim of identifying the important parameters affecting the tensile strength. In using and proving the effectiveness of the proposed linear model through training and test datasets and their validations; the study shows linearity’s ability to accelerate material selection, improve process parameters, and design microstructure. This versatility of the model to predict the designs for newly evolved forms of applications can go a long way in helping the engineers design safer and more reliable part of polymer composite structures for these demanding application categories; this would indeed mark shift in polymer composite paradigm. Thus, linear regression analysis is considered, in enhancing the understanding and the computational accuracy of the tensile strength of polymer composites, has laid a wide and profound foundation for subsequent progresses in material science and engineering.
Numerical analysis of electric vehicle battery and recyclability potential
(2024-07-10)
Rishendran a/l Chandran
The rapid expansion of electric vehicles (EVs) necessitates a deeper understanding of EV battery lifespan dynamics, presenting significant challenges and opportunities. This study focuses on key understanding in EV battery lifecycle management, emphasizing comprehensive recycling methods to ensure sustainable integration of EVs into the transportation sector. By examining EV battery performance metrics and technical approaches to enhance recyclability, the study provides a thorough analysis of environmental and economic impacts. Using MATLAB for numerical analysis, this research is expected to take an integrated approach to solving the issues of EV battery management, providing significant insights and techniques for full EV battery recycling. The analysis highlights the growth of EV battery market could increase from 1066 GWh in 2024 to 120000 GWh in 2050 in an optimistic scenario. The study also shows that the current mainstream lithium ion batteries in EVs shows faster degradation of state of charge which is at 73.33% of remaining capacity compare to solid state batteries which are still new to the EV industry with the remaining capacity of 86.67% after 2000 cycles of charge-discharge. Beside, for 100 kWh , the lithium ion battery weights at 377.36 kg while solid state battery only weights 200 kg. We propose various suggestion involving partnerships with global battery manufacturers, expansion of charging infrastructure, promotion of solid-state batteries, and implementation of financial incentives to support EV adoption. The adoption of EVs and their performance is correlated to the recyclability potential of EV battery.
Influences of screw designs on bone screw fixation, pull-out strength and local deformation of cortical bone
(2024-07-12)
Nurul Nabila binti Abu Bakar
The design of orthopaedic screw plays an important role in ensuring the proper fixation and pull-out testing which reducing complication during bone surgeries. Bone screws are frequency used in orthopaedic screw to maintain the position of broken bones through the compression force exerted by the screws and facilitating bone fracture healing. However, research indicates that failure of the bone screw may result in fracture and loosening, which can lead to loss of fixation and painful bone. Several studies have recommended several remedies, including modifying the substance of the screw and adjusting the screw's depth of insertion. By employing numerical simulation through the Ansys Workbench platform, the impact of various geometries on fixation strength and local deformation is evaluated. The insertion and pull-out tests were performed using polyethylene foam blocks with a density of 0.32 g/𝑐𝑚3 as substitutes for bone specimens, ensuring consistent testing conditions and preventing deformation or breakage. Furthermore, the stainless steel was chosen for screw material properties. This study has three main aims which, first, to numerically evaluate how different screw designs affect fixation strength within cortical bone. Secondly, to determine the variations in pull-out strength due to screw design. Thirdly, to analyse the local deformation of cortical bone caused by different screw geometries under pull-out forces. The study's findings request to provide useful insights for optimizing screw designs, ultimately improving the performance and dependability of orthopaedic implants. Additionally, the stress-strain distribution was concentrated at the screw-bone contact zone during insertion, improving fixation strength despite variations in geometric features. These findings underscore the importance of optimizing screw design parameters to maximize fixation strength and improve the overall effectiveness of orthopaedic implants.

Browse

Recent Submissions