In designing molds for injection molding process, it is very difficult to achieve efficient cooling with uniform thermal distribution. To overcome these issues, the uses of conformal cooling channels with the uniform distance between the center of the cooling channels and the mold surfaces have more advantages, offering a better thermal distribution and reducing the cooling time. This article presents Milled Grooved Square Shape (MGSS) conformal cooling channels which have a more effective cooling surface area and are more efficient in cooling compared to circular and other types of cooling channels with similar cross-sections. A case study on front panel housing is investigated, and the possibility of fabricating the conformal cooling channels on hard tooling for injection molding process, which is easier to design, fabricate, and assemble compared to other methods, is presented. The performance designs of straight drilled are compared with two types of MGSS conformal cooling channels by using Autodesk Mold flow Insight (AMI) 2012. The results show that the variations of thermal distributions were improved within 12 to 50%, and cooling time was shortened within 6 to 8%. Thus, the capabilities of MGSS conformal cooling channels should not be underestimated by molding industries.
Productivity rate (Q) or production rate is one of the important indicator criteria for industrial engineer to improve the system and finish good output in production or assembly line. Mathematical and statistical analysis method is required to be applied for productivity rate in industry visual overviews of the failure factors and further improvement within the production line especially for automated flow line since it is complicated. Mathematical model of productivity rate in linear arrangement serial structure automated flow line with different failure rate and bottleneck machining time parameters becomes the basic model for this productivity analysis. This paper presents the engineering mathematical analysis method which is applied in an automotive company which possesses automated flow assembly line in final assembly line to produce motorcycle in Malaysia. DCAS engineering and mathematical analysis method that consists of four stages known as data collection, calculation and comparison, analysis, and sustainable improvement is used to analyze productivity in automated flow assembly line based on particular mathematical model. Variety of failure rate that causes loss of productivity and bottleneck machining time is shown specifically in mathematic figure and presents the sustainable solution for productivity improvement for this final assembly automated flow line.
Flood has been a major concern for a very long time and the inability to monitor it in real-time has been a major disadvantage in maintaining a healthy hydrologic process. The main problem in monitoring flood is the amount of time taken for data to reach users and how long the data is relevant for as in monitoring flood, timing is the crucial key. This research proposes a Real-Time Flood Monitoring System that can aid in monitoring flood more efficiently. The system utilizes a set of sensors connected to a single-board computer that determines values in which is vital in monitoring flood. To ensure a fast transmission of data, the values are transferred over Wide Area Network (WAN) to host these values on a remote server. The remote server hosts these data on a website and application which is made accessible for the public with an ease of access. As a result, it can be viewed by users who wish to know the necessary values in determining danger level and further actions can be taken in ensuring their safety. Data which is transferred on real-time allow less time to be taken in order for the news to spread around as time is very crucial in saving people from natural disasters. These data also have a great importance for safety enforcement to be used in determining safety precautions that can be taken in order to ensure the safety of people around a particular area.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.