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Micro and Nano Machining by Electro-Physical and Chemical Processes
The need for micro-features, components and products is rapidly increasing in diverse industries such as electronics, medical and aviation. Product miniaturization demands innovative manufacturingExpand
Precision and efficiency of laser assisted jet electrochemical machining
Laser assisted jet electrochemical machining (LAJECM) is a hybrid process, that combines a laser beam with an electrolyte jet thereby giving a non-contact tool electrode that removes metal byExpand
Effect of Wire Breakage on the Process Energy Utilisation of EDM
Abstract Optimum energy utilisation is a major concern during machine tool design, as not only is energy consumption an environmental impact/sustainability indicator; it also affects the productionExpand
Modelling and experimental investigation of laser assisted jet electrochemical machining
Abstract Laser Assisted Jet Electrochemical Machining is a hybrid process which combines a relatively low power laser (375mW) with an electrolyte jet to facilitate metal removal. The main purpose ofExpand
Precision Mold Manufacturing for Polymer Optics
Ophthalmic lenses, sensors, and sunglasses, among other things, are commonly made of polymer materials. Therefore, polymer optics is a growing market mainly for medium quality but also for precisionExpand
Sustainable machining: Process energy optimisation of wire electrodischarge machining of Inconel and titanium superalloys
Abstract Process energy optimisation is vital in view of the environmental performance of electrodischarge machining (EDM). This research is focused on identifying the significant parameters thatExpand
Ascertaining Life Cycle Inventory Data for Electrical Discharge Machining
Abstract Sustainable manufacturing systems require accounting for both product and process level environmental impacts. Established methods and databases are available for product level environmentalExpand
A Study on Automating Rolling-stock Maintenance in the Rail Industry using Robotics
We propose introducing autonomous maintenance systems equipped with industrial robots to tasks within the railway system, specifically for rolling-stock maintenance. Expand
Enhance 3D Point Cloud Accuracy Through Supervised Machine Learning for Automated Rolling Stock Maintenance: A Railway Sector Case Study
This paper presents findings of a case study conducted to introduce industrial robots into automatic train coupler inspection of Siemens Class 380 rolling-stock. Expand