Prof. Shuming Yang, Deputy Dean of School of Mechanical Engineering, Xi’an Jiaotong University, China
Fellow of the International Society for Nanomanufacturing (ISNM)
Research Area: Micro-/nano-fabrication and measurement, optical technology and instrumentation, ultra-precision manufacturing
Title: A robot vision system with high precision
Abstract: Robot vision systems have been widely developed and have advantages of on-line measurement. However, the precision can only reach tens to hundreds microns and it restricts the applications to high precision measurement. In this talk, I will introduce a structured light vision measurement system. It is made by a two-beam robot together with a structured light vision system. The key part in the vision system is structured light source that is developed based on interferometry. The precision of the robot vision system can be <10 microns even down to nanometer.
Prof. M. Shahidul Islam [(PhD, PEng, CEng(UK), MIMechE(UK), MIE(NZ), F(IEB)]
Department of Mechanical and Manufacturing Engineering, Universiti Malaysia Sarawak, Malaysia
Research Area: Operations Research in Engineering for Achieving Economic and Environmental Sustainability
Title: Effects of Advanced Instrumentations on the Productivity of Industrial Machinery and Reducing the Carbon Emission towards Mitigating the Climate Change
Abstract: This paper is developed to demonstrate the benefits of using the advanced instrumentations and control system in industrial process machinery operations that potentially contributed to increase the productivity of the industries and as well as to enhance the reduction of carbon (CO₂eq) emission. This paper is the outcome of an in-depth research on the effects of advanced instrumentations on the productivity of industrial machinery and reducing the carbon emission. The method of conducting this research involved literature review, case studies and data collection from the industrial experiences relating to the advanced instruments and process control system that were used in machinery operation to achieve the stipulated outputs with minimum carbon emission.The literature review demonstrated that the industries operated by machinery are responsible for emitting of about 70% carbon (CO₂eq) of the total global emission. The shares of carbon emission from manufacturing industries, power plant, transportation, water treatment, agriculture and other machinery sources are 15%, 45%, 15 %, 2%, 12 % and 11% respectively. The industrial survey revealed the effects of instrument and process control system on the productivity of machinery outputs and in reducing carbon emission during plant operations are from 5% to 10% and from 20% to 50% respectively.The research findings would be useful for further improvement in industrial performance by engineers and researchers involved in designing and manufacturing the instruments. Indeed, the research outcomes would inspire the integration of the instrument and process control system with machinery operation in the macro scale for the reduction of carbon emission with aim to mitigate the climate change effects. The novelty of this research is to reveal the potential synergy effects of instrument-enriched machinery on increasing productivity and to reduce carbon emission.