Ultraflow - Enabling virtual demonstration for improved market penetration of new technology offering sustainable Innovation with energy savings of 27%+ and productivity gains of 20%+

Matrix Moulding Systems Ltd刚刚推出了一种新的受专利保护的超声波熔体流动增强系统，用于热塑性塑料注塑成型，这是对英国许多成型机的简单改造。我们的第一个订单是在一个大型成型组的示范试验之后，验证了27%的能源和20%的周期时间改进。我们热衷于推广这项技术，但大多数潜在客户都对COVID-19现场进行严格的访问限制，以帮助保护他们的员工，我们的销售流程通常涉及进行模塑试验，需要客户和我们的员工亲自到场。该项目旨在确定将我们的技术引入行业标准流程模拟软件的可行性，使我们能够在远程，数字化，非人对人的环境中展示我们的技术。许多塑料行业评论员预测，由于COVID-19，未来6个月的业务运营将受到影响，营业额和出口将减少。使用我们的技术来提高注塑效率和可持续性可以促进英国GDP增长和创造就业机会，有助于从COVID-19大流行中复苏。使用CAD和FEA模型运行注塑流动模拟以建立成型参数是很常见的，通常需要多次迭代来优化工艺。在将该技术介绍给流动模拟领域的行业领导者之后，我们现在对成功将其集成到其模拟软件中所需的参数范围有了更好的了解，并且该可行性项目旨在收集相关数据集，寻求以一种能够将其集成到其系统中的格式呈现。可行性将通过使用和不使用我们的流动增强技术的模制背靠背试验来证明，将结果与模拟包预测的结果进行比较。

Matrix Moulding Systems Ltd has just launched a new patent protected ultrasonic melt flow enhancement system for thermoplastic injection moulding, which is a simple retro-fit to many of the moulding machines in the UK. Our first order followed demonstration trials for a large moulding group, validating 27% energy and 20% cycle time improvements. We are keen to promote the technology, but most potential customers are running strict site COVID-19 access restrictions to help safeguard their workforce and our sales process typically involves running moulding trials, necessitating physical presence of both the customer's and our staff. This project is to establish the feasibility to introduce our technology into an industry standard flow simulation software, enabling us to demonstrate our technology in a remote, digital, non-person-to-person environment.Many plastics industry commentators predict an impact on business operations over the next 6 months due to COVID-19, with a decrease in turnover and export. Using our technology to improve injection moulding efficiency and sustainably could enhance UK GDP growth and generate jobs, contributing to recovery from the COVID-19 pandemic.It is commonplace to run injection flow simulations using CAD and FEA models to establish moulding parameters, often with several iterations needed to optimize the process. Having presented the technology to an industry leader in flow simulation, we now have a better understanding of the range of parameters required to successfully integrate it into their simulation software and this feasibility project is to gather the relevant data set, seeking to present it in a format that enables its integration into their system. The feasibility will be demonstrated through moulding back-to-back trials with and without our flow enhancement technology being used, comparing results to those predicted by the simulation package.