Electrical energy demand in mechanical machining processes

摘要: Rising carbon dioxide emissions present a global grand challenge due to their impact on climate. Power generation is one of the major sources CO2 especially when carbon based fuel such as coal is used. Hence, electricity that is used in homes and manufacturing industry has an environmental burden attributable it was generated at the power stations. In UK average, consumed 292 TWh of the electrical energy according 2012 statistics. The rising cost of coupled with demand for eco-friendly consumer products requires better understanding demand in manufacture. manufacturing, mechanical machining one most widely used processes average 38 TWh. This amounted 13% industrial and the reduction intensity this process area of current urgent focus. order control energy usage machining, essential understand electrical by machine tools associated processes. This development mathematical models predict electrical demand. will support selection of optimum parameters reduce direct demand and footprint.Literatures reviewed indicate that energy modelling its infancy the integrity data needed be significantly improved. particular number studies had ignored the impact feedrate, cutting velocity, depth cut tooling. It was further observed where specific values were used these assumed constant irrespective thickness of materials removed. motivation research work was to improve integrity in mechanical addressing current limitations.Based on electrical monitoring energy demand characterised. Building the literature review concepts “Basic Tip” energy, new and improved model developed which addressed of limitations omissions from existing models. of Tip based material removal rate. Having discovered chip not been considered before follow-on study undertook fundamental a function thickness. This led new generic equations for specific machining. These on machining 3 common engineering materials. Furthermore, raise the practical value data, effect tool wear on studied develop an improved evolution with tool wear. By linking mechanism the use coefficients surrogate defining energy…