Laser Metrology and Machine Performance XI A novel surface temperature measurement system for industrial applications Dean Tansley, Simon Fletcher, Andrew Longstaff Centre for Precision Technologies, University of Huddersfield, UK Abstract There is a requirement for accurate surface temperature measurement in many industries, which has given rise to a range of sensors designed to provide such data. The integrity of surface temperature data can be adversely affected by ambient contamination, surface roughness and contact area profile, which can induce a significant uncertainty in the measurement, depending on the sensor type, design and method of application. For precision manufacturing industries, thermal gradients cause deformity in machinery, resulting in component geometric error. In this paper, a novel sensor is proposed for surface temperature measurement in industrial environments. A unique architecture and multi-network system has been developed providing: Remote in-situ wireless temperature measurement, logic implementation, and low cost design with accuracy comparable to high-end thermistors minimisation of uncertainty in measurement. This paper provides information regarding the problem statement and the system development. 1 Introduction One of the most significant sources of error in precision manufacturing and measurement stems from the effects of thermal error. Positional errors are due to thermal effects; for machine tools it has been estimated to be 70% of the total positional errors [1]. For a “smart” sensing system required to capture machine temperature data [2], challenges include harsh environments (damage from swarf and coolant), rough surfaces and placement on hard-to-reach surfaces inside machinery. In this paper the beta version of a novel wireless multi network smart sensing system is described which remotely reports to a central data logger. The system is shown to be robust in acquiring surface temperature data on large machining equipment in a workshop, tackling transmission challenges of data penetration and high levels of Electromagnetic