Disassembly Modeling of an of End-Of-Life (EOL) Mechanical Damper for Recycling
Journal Title: Transactions on Machine Learning and Artificial Intelligence - Year 2017, Vol 5, Issue 6
Abstract
Today’s rapidly developing technologies and product designs have enabled manufacturers to deliver new products to consumers at a dramatic rate. This has in turn resulted in shorter lifespan for products, because, more often than not, they are discarded even though they are still in excellent working conditions. An overflowing stream of used scrapped products has become an alarming problem for waste management, as it is quickly elevating the level of environmental detriments. Countries around the world have also observed an explosive growth in the waste stream that is filling up municipal landfills and clogging up incinerators. These problems, in addition to the limited material resources on Earth have made the recycling of End-Of-Life (EOL) products a rapidly expanding research area. However, before recycling of EOL products can be done, they need to be disassembled. Therefore, this paper focuses on the automation of disassembly of EOL car dampers that are found wasting away in many auto repair workshops. It discusses the application of the component-mating graph and newer CAD methods in the disassembly modeling of an EOL mechanical damper.
Authors and Affiliations
Akintunde, Olalekan. Akintunde, Simolowo, Oluwafunbi. Emmanuel
Keywords
Related Articles
- EP ID EP267412
- DOI 10.14738/tmlai.56.2530
- Views 60
- Downloads 0
Data Editing for Semi-Supervised Co-Forest by the Local Cut Edge Weight Statistic Graph (CEWS-Co-Forest)
In order to address the large amount of unlabeled training data problem, many semisupervised algorithms have been proposed. The training data in semisupervised learning may contain much noise due to the insufficient numb...
Hybridized Model for Early Detection and Smart Monitoring of Forest Fire
The demand for wireless sensor network technology has been increasingly needed in recent years for several major applications, including environmental monitoring, where nodes deployed in nature detect, process and transf...
Application of Genetic Algorithms Coupled with Neural Networks to Optimization of Reinforced Concrete Footings
This paper first applies genetic algorithms to optimally design reinforced concrete isolated footings subjected to concentric loading. Based on the ACI Building Code, constraints are built by considering wide-beam and pu...
A Comparative Study Between Operating Systems (Os) for the Internet of Things (IoT)
Abstract : We describe The Internet of Things (IoT) as a network of physical objects or "things" embedded with electronics, software, sensors, and network connectivity, which enables these objects to collect and exchange...
Content-based Medical Image Retrieval for Liver CT Annotation
The increase number of medical image stored and saved every day presents a unique opportunity for contentbased medical image retrieval (CBMIR) systems. In this paper, we propose contentbased medical image retrieval for a...