Periodic Reporting for period 1 - GrapheneSens (Development of Graphene based Contact Position Sensors)
Berichtszeitraum: 2017-02-01 bis 2017-07-31
In the automotive industry, position sensors are now common in most mechanical systems, from seat and mirror position through to safety critical powertrain applications such as those used for accelerator pedal, gear shift, crank position. From the consumer perspective, intelligence through sensors will enable greater comfort, safety, convenience, reliability and fuel efficiency. Reduced emissions will lead to lower car/road tax. Besides the sensors being involved in the management of the engine, position sensors represent a key technology in helping OEMs to meet legislative emission targets and to avoid costly fines for OEMs .
Through GrapheneSens project we at the Precision Varionic International (PVI) are aiming to develop graphene enabled cost-efficient contact position sensors; linear Potentiometer (potentiometer + wiper) and Encoder (encoder + wiper). These sensors utilise the unique properties of graphene formulated into nano-composite coatings in achieving enhanced accuracy, lifetime and low cost. In terms of techno-economic performance, GrapheneSens product outperform the current SOA products in the following aspects:
High durability life cycle~4 million, the standard cycle is ~2.5million - Potentiometer sensor
Accuracy; 40+ pulse, the standard is 6-12 pulse, a lifetime of >100,000 cycles – Encoder sensor
28.8% cheaper with selling price of €1.26 and 22.3% cheaper with a selling price of €0.54 for the potentiometer and encoder sensors respectively.
In task 5, we have performed freedom to operate analysis and formulated IPR strategies with the support of IP expert. After reviewing patent and CORDIS databases, we have become confident that we have the freedom to operate and that there is sufficient ‘white-space’ for us to protect and exploit Graphenesense concept and technology components within the EU, US and globally. In task 6, along with SWOT analysis, we have performed risk anlysis associated to technical, commercial and environmental aspects which will assist us to proceed with the Graphenesense concept for the next stage of development.
In task 7, with the support and advice of the EC coach, we have developed a business plan incorporating the findings of the previous tasks. For the next stage development of GrapheneSens project, we were advised to perform environmental performance evaluation of our product in addition to the demonstration of techno-economic performance of the product. Environmental performance evaluation will illustrate the resource and energy consumption at product lifecycle stages. The EC coach has outlined few aspects of our product which will lead to ensure superior environmental performance compare to SOA contact sensors.
GrapheneSens will create significant socio-economic and environmental impact: i) Increased use and reliability of ‘intelligence’ (monitoring and control) within cars will lead to improved safety, comfort and convenience as standard; ii) Reduced car emissions through greater engine stability and management will support government priorities with regards to reducing CO2 emissions and other engine pollutants; iii) Business growth within EU industry from graphene enabled materials will lead to new industry skills and jobs, including 52 directly from the GrapheneSens activities and securing many more through wider exploitation into secondary markets; iv) Considering only automotive sector at global level, on average Graphenesense product, will save €1,655.11 million per year; v) Net 42.50 kg CO2 emission and 980 litre water could be saved for using a graphene based single wiper unit instead of existing SOA wiper unit; vi) Considering only automotive sector at global level, on average Graphenesense product, will save 263,872 million tonnes of CO2 emission and 6,083,971 mega litres of water per year; vii) Considering only the automotive sector, Graphenesense product will create average annual graphene demand amounting 11,191.60 tonne.