Advanced Materials Research Vol. 1183

Abstract: This study investigates the performance of bit patterned media (BPM) in hard disk drives. It is revealed that written-in errors, rather than traditional signal-to-noise ratio, drive the recording performance of BPM. The staggered BPM structure allows for a larger write pole size, resulting in a larger write field. However, the lateral spacing between adjacent islands in staggered BPM is typically less than conventional BPM, leading to a higher written-in error rate. The investigation determines the effective switching field affected by the magneto-interaction field and finds that the write field is 21% higher in staggered BPM compared to conventional BPM. By analysing the error rate up to areal density of 5 Tb/in², the study shows that conventional BPM achieves 1 Tb/in² with the acceptable error rate, while staggered BPM can reach an areal density of 5 Tb/in² with tight synchronous writing requirements. These insights are useful for designing the structure of BPM in hard disk drives.

Abstract: In the challenging environment of the Negeri Roadstone Malaysia quarry, maintaining accuracy in the weight measurement of raw materials and finished products is paramount. This paper presents an in-depth analysis of an integrated weighing system comprising load cells and ultrasonic sensors, used strategically at the quarry site. By leveraging the precision of strain gauge technology inherent in load cells and the distance-measuring capabilities of ultrasonic sensors, the system aims to offer accurate weight estimations across varying distributions of materials, mainly sand. The load cell yields an average weight of 703.8192g, 701.8220g and 702.4949g which is very close to the actual weight of the sand (700g). Experimental results highlight the sensitivity of ultrasonic measurements to the distribution pattern of sand, emphasising the importance of material consistency for accurate volume-to-weight conversions. Furthermore, integrating the Node-RED platform showcases real-time data visualisation, enhancing the system's usability and data analysis capabilities. Through this study, we underscore the potential and challenges of employing a hybrid weighing system, offering insights for future implementations in similar industrial settings.