Integrating Policies, Practices and E-Marketing Examination on Customer Satisfaction Capability for Scholarly Publishing in Malaysian Public Universities

Due to its depleting importance, scholarly publishing grew unpopular in a weak market where business is done in a conventional way. University Press uses e-marketing to promote academic publication. As a widely accepted strategy, e-marketing has been used by many organizations around the world to market their daily businesses. Various studies have shown e-marketing strategy is capable of providing a platform for the business enterprise. The research design uses quantitative methods which data was drawn from questionnaires responded by 142 respondents from 15 public universities in Malaysia. The data were analyzed based on descriptive and inferential statistical analysis using four types of statistical analysis method: the factor analysis, descriptive analysis, Pearson correlation test and multiple regression analysis. The results of the study suggested that publication policies and practices, as well as e-marketing, are the main contributors towards the performance of scholarly publishing in public universitie

THE PERFORMANCE OF LOW COST CUTTING TOOLS WHEN MACHINING HARDENED STEEL OF 60 HRC

Hard turning is a topic of great interest in today’s industrial production and scientific research. The hard turning technology has the potential for improving productivity against grinding in the manufacturing process. Today, tool manufacturers are constantly developing new combinations of coatings and substrates to precisely match different workpiece materials and operations. Nevertheless, the suitability of coated mixed ceramic (AI2O3 + TiCN) cutting tools when hard turning AISI D2 cold work tool steel (60 HRC) is yet to be investigated. An understanding of the tool life and wear mechanisms, surface integrity produced by coated mixed ceramic cutting tools will give an alternative to the manufacturing industries to exploit low costs cutting tools in hard turning of AISI D2 (60 HRC). The noticeable trend of the tool life was observed at test conditions where the cutting speed is at 100 m/min instead of 140 m/min or 200 m/min. The wear mechanism of coated mixed ceramic cutting tools with TiN is subjected to abrasion, adhesion, chipping and notching, especially when machining at high cutting speed of 200 m/min

Approximating the relationship among the degree of the reaction forces and the nodes on footprint during a stance phase

AbstractThis study examined the foot biomechanics that are utilized when foot is in contact with the ground during a stance phase. The purpose of the study was to investigate the normalized ground reaction forces that impacted certain sections and points on the footprint, and to identify patterns in the degrees to which these forces occurred. Foot was modeled in such a manner that a vertex represented a bone and an edge represented a joint, and a graph that depicted the foot was created. Twelve nodes were marked on the footprint and these were linked together to create a gait path. By fusing the graph and the gait path and by manipulating the mathematical models, a profile for an ideal bipedal walking locomotion was developed. A male subject performed bipedal walking through a force plate system in order to obtain the profile that reflected actual bipedal walking. The actual and the proposed profiles were compared and there were significant similarities between the two profiles, with both exhibiting an double-bump pattern. It is therefore viable that the approximation techniques proposed in this work may provide an alternative means over the application of a force plate system to generate a profile for bipedal walking. However, the accuracy and reliability of the results yielded from this technique need further investigation

DESIGN AND FABRICATION OF CRANIOPLASTY PROSTHESES: FIT EVALUATION BETWEEN PHANTOM-BASED HAPTIC ENVIRONMENT AND MATERIALISE 3-MATIC SOFTWARE

Two different design methods for customized cranioplasty prostheses are presented in this paper. The first approach is designing the digital model of the cranial implants in a haptic environment, utilizing a combination of a PHANToM haptic device and a freeform software called Claytools. The other method makes use of a software solution provided by Materialise Inc. known as 3-matic. Next, the skull models and the designed implants are fabricated via stereolitography (SLA). Finally, the implants’ fit over the skull models are evaluated to determine the most accurate method

Thermophysical Properties Of Nanocarbon Particles In Ethylene Glycol And Deionized Water

The recent research has demonstrated that nanofluids have provided significantly better thermophysical properties than the base fluids because of its novel properties. The nanofluids proved to have higher heat transfer property and specific heat capacity at a very low particle concentration than conventional heat transfer fluid. Generally, the available base fluid such as ethylene glycol (EG) and deionized water (DI) has a limitation in terms of thermophysical properties like thermal conductivity and heat transfer. An innovative way to overcome this limitation is by adding nanoparticles to the base fluid to form nanofluid. In this paper, the proposed objective is to formulate a stable nanofluid from HHT24 carbon nanofiber (CNF) and –OH functionalized multiwalled carbon nanotubes (MWCNT-OH) in a base fluid with the presence of polyvinylpyrrolidone (PVP) as the stabilizer through two-step preparation process. Then, the thermal conductivity and heat transfer were investigated at three different temperatures (6°C, 25°C and 40°C). Nanofluids tested for thermal conductivity and heat transfer shows that most of the samples achieved an enhancement in EG and DI based nanofluids when CNF HHT24 and MWCNT-OH particle was added. Overall, this studies shows that nanocarbon material is a great alternative to being used in conjunction with ethylene glycol and deionized water as a heat transfer media in a cooling application. 

COMPUTER VISION BASED ROBOTIC POLISHING USING ARTIFICIAL NEURAL NETWORKS

Polishing is a highly skilled manufacturing process with a lot of constraints and interaction with environment. In general, the purpose of polishing is to get the uniform surface roughness distributed evenly throughout part’s surface. In order to reduce the polishing time and cope with the shortage of skilled workers, robotic polishing technology has been investigated. This paper studies about vision system to measure surface defects that have been characterized to some level of surface roughness. The surface defects data have learned using artificial neural networks to give a decision in order to move the actuator of arm robot. Force and rotation time have chosen as output parameters of artificial neural networks. Results shows that although there is a considerable change in both parameter values acquired from vision data compared to real data, it is still possible to obtain surface defects characterization using vision sensor to a certain limit of accuracy. The overall results of this research would encourage further developments in this area to achieve robust computer vision based surface measurement systems for industrial robotic, especially in polishing process

Investigation of thermal characteristics of CNF-based nanofluids for electronic cooling applications

A major problem being faced by existing coolants is the limited amount of heat that can be absorbed by the fluids. An innovative way to overcome this limitation is by utilizing a nano-coolant as a heat transfer medium in a cooling application. This paper was aimed at formulating an efficient nanofluid from Pyrograf III HHT24 carbon nanofibers (CNF) in a base fluid consisting of deionized water (DI) and ethylene glycol (EG) with polyvinylpyrrolidone (PVP) as the dispersant. The experiment was conducted by setting the variable weight percentage of CNF from 0.1 wt% to 1.0 wt%, with the base fluid ratio of 90:10 (DI:EG) weight percent. Then, the thermal properties of the formulated nanofluids were investigated. The test on the thermal conductivity of the nanofluids showed that the highest thermal conductivity of 0.642 W/m.K in this experiment was produced when the concentration of nanofluid is 0.5 wt% at a temperature of 40°C. Experimental investigations into the forced convective heat transfer performance of the CNF-based nanofluid in a laminar flow through a mini heat transfer test rig showed that the presence of nanoparticles enhanced the heat transfer coefficient as opposed to the original base fluid. The highest heat transfer coefficient was reported using nanofluid with a concentration of 0.6 wt% at 40°C. The enhancement of the heat transfer coefficient was due to the higher thermal conductivity value. The Nusselt number was also calculated and presented in this paper. This study showed that the CNF-based nanofluids have a huge potential to replace existing coolants in electronic cooling applications. Thus, in order to commercialize nanofluids in practice, more fundamental studies are needed to understand the crucial parameters that affect their thermal characteristics

Thermal conductivity and viscosity of deionized water and ethylene glycol-based nanofluids

This paper focused on thermal conductivity and viscosity of deionised water and ethylene glycol-based nanofluids at three different temperatures (6C, 25C and 40C). For the preparation of nanofluids, a two-step method, comprised of homogenisation and sonication, was used on a mixture of MWCNT-OH, PVP and the base fluid. The results revealed that thermal conductivity was enhanced by about 8.86% for 0.8 wt% deionised water-based MWCNT-OH nanofluid, and by 5.37% for 0.2 wt% ethylene glycol-based MWCNT-OH nanofluid. Meanwhile, in viscosity test, the highest temperature of 40C exhibited lowest viscosity. This phenomenon happened only with ethylene glycol-based nanofluid, whilst the data on the viscosity of deionised water-based nanofluid was inconsistent at certain nanofluid concentrations. In conclusion, addition of MWCNT-OH into base fluid enhanced base fluid performance, giving it the potential to be used in cooling system applications

Rapid Time Response: A solution for Manufacturing Issue

Respond time in manufacturing give the major impact that able to contribute too many manufacturing issues. Based on two worst case scenario occurred where Toyota in 2009 made a massive vehicles call due to car complexity of 11 major models and over 9 million vehicles. The recalls cost at least $2 billion in cost of repair, lost deals and result in lost 5% of its market share in United State of America, while A380 was reported on missing target in new production and leads to delayed market entry due to their weak product life cycle management (PLM). These cases give a sign to all industries to possess and optimize the facilities for better traceability in shortest time period. In Industry 4.0, the traceability and time respond become the factors for high performance manufacturing and rapid time respond able to expedite the traceability process and strengthen the communication level between man, machine and management. The round trip time (RTT) experiment gives variant time respond between two difference operating system for intra and inter-platform signal. If this rapid time respond is adopted in any manufacturing process, the delay in traceability on every issue that lead to losses can be successfully avoided