<?xml version="1.0" encoding="UTF-8"?><ns2:project xmlns:ns1="http://gtr.rcuk.ac.uk/gtr/api" xmlns:ns2="http://gtr.rcuk.ac.uk/gtr/api/project" xmlns:ns3="http://gtr.rcuk.ac.uk/gtr/api/fund" xmlns:ns4="http://gtr.rcuk.ac.uk/gtr/api/person" xmlns:ns5="http://gtr.rcuk.ac.uk/gtr/api/project/outcome" xmlns:ns6="http://gtr.rcuk.ac.uk/gtr/api/organisation" ns1:created="2026-06-03T15:52:43Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/3EC611B0-1DC8-4CD9-9FFE-F82655192091" ns1:id="3EC611B0-1DC8-4CD9-9FFE-F82655192091"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/45433695-0E96-48B1-A408-508AD1467786" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/AFC3EC8A-5583-48B2-B6DA-FF95B925764B" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/AFC3EC8A-5583-48B2-B6DA-FF95B925764B" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2019-09-29T23:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/880F9C34-25B8-4863-9330-8784D7CA3F1A" ns1:rel="FUND" ns1:start="2018-09-30T23:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">133649</ns2:identifier></ns2:identifiers><ns2:title>Intelligent Inline Temperature Control of the Stretch Blow Moulding Process</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Feasibility Studies</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>&amp;quot;Blow Moulding Technologies (BMT) is a micro SME who sell instrumentation and software to the Stretch Blow Moulding (SBM) industry, founded in 2011 as a spin-out from Queen's University Belfast,

The world currently consumes 1 million plastic bottles per minute, therefore SBM process **demands high rates of production**. As the world advances towards half a trillion plastic bottle/annum by 2021, **productivity is hampered by large inefficiencies** frequently caused by **temperature variables** such as operator subjectivity, variation in material properties and environment changes, giving rise to material wastage, product defects and machine down-time. Furthermore, **increased public environmental concern** in the mass production and pollution of plastic bottles has instigated a **strong market opportunity for the use of recycled PET resins and bio-based polymers from waste bottles**.

Our **vision** for this project is to develop ground-breaking technology to enable the intelligent control of temperature within the SBM process in the production of Plastic Bottles. Working alongside our partners, P&amp;amp;G, Sidel, Sacmi and Beverage Plastics, BMT's proposed solution involves the development of an **automated data-driven inline temperature management system** with advanced infrared sensor technology and control algorithms. Heated preforms will be ejected automatically at regular intervals prior to blowing to provide real-time internal and external temperature data. The temperature data will be communicated back to the SBM ovens through bespoke software to allow a more accurate control of the process temperature.

Greater temperature control will lead to a **reduction in production trouble-shooting, reduction in machine down-time** and **greater productivity.** It will optimise bottle production leading to the consumption of **less raw material**, **generate less waste** and **decrease product defects** leading to **greater material use efficiency**. The system will permit a **greater optimisation of products**, in particular it will allow more accurate **production of recycled PET** within a narrower SBM process window. It will lead to **lighter more efficient preforms** which can still reach the **targeted performance standards** such as 'shelf-life' and 'top-load', with greater **ease of manufacture.** Savings on **production efficiencies** will also result in **lower running costs** and a **reduced carbon footprint**.

This project represents **cutting edge innovation** through the creation of an inline system which does not require human touch. The ability to minimise all temperature related trouble-shooting within the SBM process through the use of intelligent algorithms communicating the exact measurements of the inner and outer profiles of the heated preforms is **a major step forward in the SBM industry.**&amp;quot;</ns2:abstractText></ns2:project>