Kualiti pengalaman pembelajaran pelajar-pelajar sarjana muda kejuruteraan elektrik di Kolej Universiti Teknologi Tun Hussein Onn (KUiTTHO) dari aspek pembelajaran kognitif, psikomotor dan afektif

Pembelajaran kognitif, psikomotor dan afektif merupakan pembelajaran yang perlu ditekankan dalam konteks pengajaran dan pembelajaran di institusiinstitusi pengajian tinggi. Ketiga-tiga aspek pembelajaran tersebut amat penting bagi melahirkan graduan yang mempunyai ketrampilan yang tinggi dari segi kreativiti, berinovatif, berkaliber, berkompetensi serta mempunyai motivasi kendiri yang tinggi. Kajian ini adalah satu kajian untuk menilai kualiti pengalaman pembelajaran pelajar-pelajar Saijana Muda Kejuruteraan Elektrik di KUiTTHO. Kajian ini meninjau pengalaman pembelajaran di dalam kelas dan di makmal/bengkel dari aspek pembelajaran kognitif, psikomotor dan afektif. Responden terdiri daripada empat puluh orang pelajar Saijana Muda Kejuruteraan Elektrik semester akhir yang dipilih secara rawak. Instrumen yang digunakan dalam kajian ini ialah jenis soal selidik di mana penilaian dilakukan berdasarkan persepsi responden terhadap pengalaman pembelajaran yang ditempuhi sepanjang pengajiannya serta menjalankan sesi temubual dengan beberapa orang responden. Data-data yang dikumpulkan, dianalisis menggunakan SPSS version 11.0 yang melibatkan skor min dan sisihan piawai. Dapatan kajian menunjukkan kualiti keseluruhan pengalaman pembelajaran pelajar adalah di tahap sederhana (skor min = 3.49). Bagi pengalaman pembelajaran di dalam kelas dan makmal, kualitinya adalah di tahap sederhana (skor min = 3.31 dan 3.67 masing-masing). Sementara kualiti keseluruhan pengalaman pembelajaran dari aspek kognitif, psikomotor dan afektif juga berada di tahap sederhana (skor min = 3.50, 3.39 dan 3.57 masing-masing). Oleh itu, berdasarkan kualiti pengalaman pembelajaran pelajar yang sederhana ini, pengkaji telah membina satu produk cadangan iaitu Sistem Senarai Semak Kualiti Pengajaran dan Pembelajaran bagi membantu pihak pengurusan akademik KUiTTHO meningkatkan kualiti pengajaran dan pembelajaran dari ketiga-tiga aspek kognitif, psikomotor dan afektif

Manual pengajaran berteraskan teknologi kejuruteraan

Kajian dijalankan untuk membangunkan manual pengajaran bagi subjek berteraskan teknologi kejuruteraan. Ia merupakan panduan kepada pensyarah untuk membangunkan pengajaran dan pembelajaran bagi subjek berteraskan teknologi kejuruteraan secara sistematik. Kaedah ini akan dapat membantu pensyarah untuk melaksanakan pengajaran secara tersusun, berkesan dan efisien. Manual ini membincangkan keperluan, reka bentuk, perancangan dan pembangunan manual. Manual pengajaran dibangunkan untuk memenuhi tujuan program teknologi kejuruteraan iaitu operasi kemahiran dan aplikasi kejuruteraan serta kemahiran analitikal untuk menyelesaikan masalah menggunakan teori, prosedur dan teknologi terkini. Kaedah kajian yang digunakan ialah secara kualitatif. Dapatan kajian diambil melalui kaedah temubual dan semakan dokumen. Hasil penyelidikan mendapati manual pengajaran sesuai dan penting dalam perlaksanaan program dan aktivitiaktiviti pengajaran dan pembelajaran yang berteraskan teknologi kejuruteraan

Dissimilar materials laser welding characteristics of stainless steel and titanium alloy

Welding parameters are directly influenced by the work material properties. Thermal properties such as thermal conductivity and melting point are very important to estimate the range of power required and the allowable scanning speed. However, when two or more different materials are involved, modifying lasing parameters are not enough to counter the problems such as imbalance melting region and weak adhesion of contact surface. To counter this problem, the characteristics of welding beads formation for both materials need to be clarified. In this study, comparison of welding beads constructed using the same scanning parameters were done to understand the different and similarity of melted region for the both materials. Actual welding of the both materials were done under different offset distance to obtain a balanced melting area and well mixed melting region

Experimental study of helical milling on CFRP (carbon fibre reinforced polymer) for the hole making process

Generate borehole by helical milling process may be used effectively since accurate location of the hole may be secured by means of the feed screw graduations. Fiber delamination which is the main defect occurred during hole making process on carbon fiber reinforced polymer (CFRP) were investigate throughout an experimental study. Effects of thrust force (Fz), delamination factor (Fd) and surface roughness are evaluated. Objective of the experiment are to find best cutting parameter and tool design suitable to performed helical milling operation on CFRP. Two types of end mill with 4 flutes were used and results are evaluated. It was found that tool design 2-1 has higher performance on CFRP

Hole making process of carbon fiber reinforced polymer (CFRP) using end mill cutting tool

This paper presents an alternative way of producing a hole by using a helical milling concept on a carbon fiber reinforced polymer (CFRP). Delamination is a major problem associated with making a hole by drilling on the CFRP. This study focused on helical milling technique using a vertical machining center in order to produce a hole. Various levels of cutting parameter such as cutting speed, feed rate and depth of cut have been chosen to observe the effect of trust force, delamination and surface roughness. The result will be used to determine on which cutting parameters give the best hole quality that will achieved by this new approached

Numerical analysis of laser preheating for laser assisted micro milling of Inconel 718

Micro milling of super alloy materials such as Inconel 718 is challenging due to their excellent mechanical properties. Therefore, new techniques have been suggested to enhance the machinability such as pre-heating the workpiece’s surface to reduce their strength and ductility. Applying pulsed wave laser as a heat source, the prediction of fluctuated temperature distribution in laser assisted micro milling (LAMM) is crucially important. The selection of processing parameters with minimum effect on the processing characteristic is decisive in obtaining high machining quality. Clarifying the effect of heat generated underneath the laser irradiated surface is important to predict the allowable maximum cutting depth and to minimize the risk of tool wear and failure. In this study, ANSYS APDL numerical analysis was used to characterise the workpiece temperature distribution. The numerical model was validated by comparing the results with actual laser irradiation experiment. The experiment was conducted by using Nd:YAG laser with wavelength 1064 nm

Training a Carbon-Nanotube/Liquid Crystal Data Classifier Using Evolutionary Algorithms

Evolution-in-Materio uses evolutionary algorithms (EA) to exploit the physical properties of unconfigured, physically rich materials, in effect transforming them into information processors. The potential of this technique for machine learning problems is explored here. Results are obtained from a mixture of single walled carbon nanotubes and liquid crystals (SWCNT/LC). The complex nature of the voltage/current relationship of this material presents a potential for adaptation. Here, it is used as a computational medium evolved by two derivative-free, population-based stochastic search algorithms, particle swarm optimisation (PSO) and differential evolution (DE). The computational problem considered is data classification. A custom made electronic motherboard for interacting with the material has been developed, which allows the application of control signals on the material body. Starting with a simple binary classification problem of separable data, the material is trained with an error minimisation objective for both algorithms. Subsequently, the solution, defined as the combination of the material itself and optimal inputs, is verified and results are reported. The evolution process based on EAs has the capacity to evolve the material to a state where data classification can be performed. PSO outperforms DE in terms of results’ reproducibility due to the smoother, as opposed to more noisy, inputs applied on the material

Decolourisation of dye solution containing azo acid orange 7 by electricity

Colouring effluent from industrial activities may affect environment and human health. Many methods have been used to decolourise such effluent including using electricity. This study was performed to investigate the behaviour of decolourisation of solution containing Azo Acid Orange 7. This study was focusing on the effect of decolourisation due to current density, dye concentration and duration of current flow. Simple electrochemical cell was prepared by using iron and steel plate electrode. The effectiveness of the method was determined by measuring percentage of colour and absorbance removal. The percentage of colour removal was higher then the percentage of absorbance removal. It is found that decolourisation was directly proportional to current density, duration of electric current flow and concentration of the dye. Based on MINITABTM analysis current density, duration and concentration does affecting the percentage of colour removal. The efficiency of decolourisation for 100 mg/l to 200 mg/l concentration was able to increase up to more 95% of colour removal and more than 88% of absorbance removal when duration was 18 minutes and current density was 120 A/m2

Dynamic Response of a Polyvinylidene Fluoride (PVDF) Sensor Embedded in a Metal Structure Using Ultrasonic Additive Manufacturing

This study aims to examine the dynamic response of a polyvinylidene fluoride (PVDF) piezoelectric sensor which is embedded into an aluminum coupon using ultrasonic additive manufacturing (UAM). Traditional manufacturing techniques used to attach smart materials to metals on the surface have drawbacks, including the potential of exposing the sensor to adverse environments or physical degradation during manufacture. UAM can avoid these issues by integrating solid-state metal joining with subtractive processes to enable the fabrication of smart structures. A commercial PVDF sensor is embedded in aluminum with a compression technique to provide frictional coupling between the sensor and the metallic matrix. The PVDF sensor’s frequency bandwidth and impact detection performance are evaluated by conducting cantilever and axial impact tests, as well as harmonic excitation tests with an electrodynamic shaker. Under axial loading, the embedded sensor displays high linearity with a sensitivity of 43.7 mV/N, whereas impact tests in the cantilever configuration exhibit a steady decay rate of 0.13%. Finally, bending tests show good agreement between theoretical and experimental natural frequencies with percentage errors under 6% in two different clamping positions, and correspond to the maximum voltage output obtained from the embedded PVDF sensor at resonance