No abstract

High quality products produced by computerized numerical control machining has a high demand in the industry due to its effect on product appearance, function, and reliability. In order to improve its quality, the application of nano-cutting fluid system can significantly reduce the cutting forces, surface roughness and cutting temperature as the nanoparticles are known as superior in reducing the friction between the workpiece-tool. In this study, nano-cutting fluid containing multi-wall carbon nanotubes mixed with vegetable oil is developed and applied to the cutting process of aluminium alloy Al6061 which employed minimum quantity lubricant to increase the effectiveness of the nano-cutting fluid. Surface roughness and cutting forces are analyzed by using signal-to-noise response analysis and the analysis of variance (Pareto ANOVA) to determine the optimum parameter of the experiment. The experiment shows the combinations of nanoparticle concentration (A2, 0.2 %), cutting speed (B1, 1000 min -1 ), feed rate (C3, 200 mm/min) and depth of cut (D1, 2 mm) for lowest cutting force, nanoparticle concentration (A3, 0.8 %), cutting speed (B1, 1000 min -1 ), feed rate (C2, 150 mm/min) and depth of cut (D1, 2 mm) for lowest cutting temperature and nanoparticle concentration (A2, 0.2 %), cutting speed (B2, 2000 min -1 ), feed rate (C2, 150 mm/min) and depth of cut (D1, 2 mm) for lowest surface roughness.

Drug abuse and drug addiction are becoming growing issues in most countries worldwide and are considered major public health problems. An initiative has been introduced in Malaysia via the methadone maintenance treatment program since the year 2005. Although the program has shown gradual success over the years by reducing the relapse rate of the patients, it has encountered several challenges in maintaining the effectiveness of the manual dispensing method done by the authorized health practitioners. Therefore, an automated methadone dispenser was developed to improve the effectiveness and comply with the requirements and needs of the users. In this research, the reliability and feasibility of the dispenser were determined through percentage error, accuracy and efficiency, and tests, respectively. Based on the performance evaluation, the findings suggested that the automated methadone dispenser has contributed to the decrease of percentage error to 3.42 %, 31.52 % higher accuracy, and 96 % better efficiency compared to current manual methadone dispensing practices.

Methadone is a controlled drug and can be prescribed by an authorized person in charge under the direction of medical practitioners for particular patients to cure their addiction towards opioid substances. The development and evaluation of methadone dispenser present a prototype solution for solving current manually methadone dispensing problems which are prone to human error through implementation in methadone maintenance treatment (MMT) program at the same time to increase public awareness about this program. In the current study, the performance of a methadone dispenser is evaluated by investigating the simulation analysis, feasibility and efficiency of the device as compared to manual technique. For testing purposes, methadone syrup was replicated with sugar solution of 66.6g/50ml at 25 o C with a dynamic viscosity of 36.680 mPa.s. Thus, it was quantified that time taken to dispense the sugar solution by using methadone dispenser has shown a significant improvement of 81.40 %-time reductions as compared to manual technique. The low repeatability percentage of methadone dispenser by 1.64 % contribute to a high precision device that is reliable to be implemented in MMT program with dispensing accuracy increment of 3.87 % as compared to manual technique. The findings suggest that the methadone