Paul is Dean of Mechanical, Electrical and Manufacturing Engineering at Loughborough and Professor of Manufacturing Processes. He led EPSRC’s Innovative Electronics manufacturing Centre for more than 10 years and has worked in manufacturing processes and technology research and consultancy in many sectors throughout his career.
Our Team > Our Leadership > Prof Paul Conway
Prof Paul Conway
RIED Specific Links & Papers
A review of design frameworks for human-cyber-physical systems moving from industry 4 to 5 (September 2023)
Published in the IET Cyber-Physical Systems: Theory and Applications Journal
Within the Industry 4.0 landscape, humans collaborate with cyber and physical elements to form human-cyber-physical systems (HCPS). These environments are increasingly complex and challenging workspaces due to increasing levels of automation and data availability. An effective system design requires suitable frameworks that consider human activities and needs whilst supporting overall system efficacy.
Although several reviews of frameworks for technology were identified, none of these focused on the human in the system (moving towards Industry 5). The critical literature review presented provides a summary of HCPS frameworks, maps the considerations for a human in HCPS, and provides insight for future framework and system development. The challenges, recommendations, and areas for further research are discussed.
Predicting electrical power consumption of end milling using a virtual machining energy toolkit (V_MET) – (September 2023)
Dr Paul Goodall, Prof Paul Conway et alPublished in the Computers In Industry Journal (Volume 150, September 2023, 103943)
Understanding electrical energy consumption of machines and processes is of increasing importance to (i) minimise costs and environmental impact of production activities and (ii) provide an additional information stream to inform condition monitoring systems (i.e. digital twins) about a machine’s status and health. The research outlined in this paper develops a Virtual Machining Energy Toolkit (V_MET) to predict the electrical power consumption of a Computer Numeric Control (CNC) milling machine cutting a particular part program from preparatory codes (i.e. G code). In this way the evaluation of the energy impact of manufacturing part programs prior to implementation and real-time monitoring of the process can become a routine activity at part of a total manufacturing system optimisation. The novelty of this work lies in the inclusion of a virtual CNC process model to determine cutting geometry (i.e. width and depth of cut) to enable the prediction of relatively complex part program geometry.
V_MET consists of three components: (i) the NC interpreter to extract key parameters (e.g. spindle speed, feed rate, tool path) from G-code instructions, (ii) a virtual CNC process model to determine instantaneous cutting geometry (i.e. width and depth of cut) and the material removal from the resulting machining by simulating the motion of the tool path to predict the interaction between the tool tip and workpiece and (iii) an energy model to predict the electrical power consumption for a given set of conditions, developed using regression analysis of data collected under real manufacturing conditions.
Validation of V_MET has been conducted by physical machining of different product features to evaluate the validity over a range of different cutting parameters, NC operations (i.e. linear, clockwise interpolations) and repasses over previously cut regions. Overall good accuracy has been observed for the predicted energy requirements as a function of the cutting regimes, with 4.3% error in total energy and Mean Average Percentage Error (MAPE) of 5.6% when compared with measurements taken during physical cutting trials.
THERMEC 2023 – Vienna – (July 2023)
Members of the RIED Loughborough attended the THERMEC 2023 Conference in Vienna, Austria, a very prestigious bi-annual International Conference on “PROCESSING & MANUFACTURING OF ADVANCED MATERIALS: Processing, Fabrication, Properties, Applications”
The work presented was on the biodegradable and bioresorbable materials for medical devices and scaffolds based on Ca-Mg-Zn chemistry for bulk metallic glasses. PhD researcher Shangmou Yang and supervisors Profs Paul Conway and Carmen Torres presented and defended the paper entitled “Can multifunctionality of bioresorbable BMGs be tuned by controlling crystallinity?” during the session ‘Metallic Glasses 3’ chaired by one of them most eminent and internationally respected experts in bulk metallic glasses, Prof Jürgen Eckert, from Montanuniversität Leoben & Erich Schmid Institute of Materials Science, Austrian Academy of Sciences, Leoben (Austria).
Shangmou presenting at THERMEC 2023
It was Shangmou’s first international experience presenting his work; he was well prepared and did a very good job in front of scientists from all over the world who are also working on that alloy system. This work is co-sponsored by Alloyed Ltd, the Wolfson School of Mechanical, Electrical and Mechanical Engineering and EPSRC Programme Grant ‘RIED’.
Shangmou happy (and relieved!) after his presentation
And to make it even more special…
The RIED-Wien local team came to support us and boost our mood!
We met with Dr Vincent McKenna, RIED alumnus, who now resides in Vienna. It was a fabulous occasion, and we spent a lovely time with him there, celebrating how well he is doing in the city he now calls home. We are already looking forward to meeting him again (here in the UK or in Wien!)
Shangmou, Vincent, Carmen and Paul at the Belvedere Palace gardens, in Vienna
Can Multifunctionality of Bioresorbable BMGs Be Tuned by Controlling Crystallinity ? (June 2024)
As published in Key Engineering Materials Volume 967
Ca-Mg-Zn bulk metallic glasses (BMGs) are promising biomaterials for orthopaedic applications because when they get reabsorbed, a retrieval surgery is not needed. In this study, Ca-Mg-Zn metallic glasses with different compositions, Ca56.02Mg20.26Zn23.72 and Zn50.72Mg23.44Ca25.84, were fabricated by induction melting followed by copper mould casting. Their degree of crystallinity was modified by annealing, obtaining exemplar specimens of fully amorphous, partially amorphous (i.e., a BMG composite (BMGC)) and fully crystalline alloys. The microstructure, thermodynamic and corrosion performance of these alloys were evaluated as well as their electrochemical behaviour. The results of polarisation tests demonstrate that the corrosion resistance of the Zn-rich alloy is markedly better than the Ca-rich BMG. Corrosion rates of these Ca-and Zn-rich alloys with different degrees of crystallinity illustrate that the corrosion behaviours of alloys strongly depend on their microstructure, which shows a positive correlation between the corrosion current density and the crystallised volume fraction of the alloy. This study aims to shed light on the impact of the amorphicity-to-crystallinity ratio on the multifunctional properties of BMGs/BMGCs, and to assess how feasible it is to fine-tune those properties by controlling the percentage of crystallinity.
Multidimensional analysis for the correlation of physico-chemical attributes to osteoblastogenesis in TiNbZrSnTa alloys (October 2023)
Published in the Biomaterials Advances Journal (Volume 153, October 2023, 213572)
Abstract
Data-enabled approaches that complement experimental testing offer new capabilities to investigate the interplay between chemical, physical and mechanical attributes of alloys and elucidate their effect on biological behaviours. Reported here, instead of physical causation, statistical correlations were used to study the factors responsible for the adhesion, proliferation and maturation of pre-osteoblasts MC3T3-E1 cultured on Titanium alloys. Eight alloys with varying wt% of Niobium, Zirconium, Tin and Tantalum (Ti— (2–22 wt%)Nb— (5–20 wt%)Zr— (0–18 wt%)Sn— (0–14 wt%)Ta) were designed to achieve exemplars of allotropes (incl., metastable-β, β + α′, α″). Following confirmation of their compositions (ICP, EDX) and their crystal structure (XRD, SEM), their compressive bulk properties were measured and their surface features characterised (XPS, SFE). Because these alloys are intended for the manufacture of implantable orthopaedic devices, the correlation focuses on the effect of surface properties on cellular behaviour. Physico-chemical attributes were paired to biological performance, and these highlight the positive interdependencies between oxide composition and proliferation (esp. Ti4+), and maturation (esp. Zr4+). The correlation reveals the negative effect of oxide thickness, esp. TiOx and TaOx on osteoblastogenesis. This study also shows that the characterisation of the chemical state and elemental electronic structure of the alloys’ surface is more predictive than physical properties, namely SFE and roughness.
Electrochemical removal of secondary roughness on selective laser melted titanium with an ethylene–glycol-based electrolyte (July 2023)
Published in the Materials Letters Journal (Volume 343, 15 July, 134367)
Partially sintered satellite particles in scaffolds produced via Selective Laser Melting (SLM) create discrepancies between the as-designed and the as-manufactured properties (esp. porosity). These discrepancies impede direct comparison of manufactured parts performance to computer simulations. We propose anodic electrolysis using an electrolyte based on non-aqueous ethlylene-glycol TiCl4 (EthaTi) to remove the secondary roughness on titanium SLM-ed porous scaffolds. Post-processed gyroid scaffolds regained 10% porosity with respect to their as-manufactured value (65.20 ± 0.23%), which was close to the as-designed value (75.12%). Compared to other well-established electrolytes, this method is cost-effective, user-friendly and practical, as it requires shorter processing times, is temperature-stable and of gentler chemistry.
In-silico design and experimental validation of TiNbTaZrMoSn to assess accuracy of mechanical and biocompatibility predictive models (December 2021)
Published in the Journal of the Mechanical Behaviour of Biomedical Materials 124 (2021) 104858
Journal of the Mechanical Behavior of Biomedical Materials | ScienceDirect.com by Elsevier
Comparison of SLM cpTi sheet-TPMS and trabecular-like strut-based scaffolds for tissue engineering (September 2021)
Triply periodic minimal surface and trabecular-like structures are common approaches in tissue engineering. There are few comparative studies assessing the impact of topology on biological and mechanical performance independent of porosity and surface area. Herein, these two features are controlled, despite design-to-manufacture disparities intrinsic to selective laser melting. Smoothed trabecular scaffolds, with more accessible throats lined with microporosity, enhance osteoblastogenesis.
Simulation and physical validation of triply periodic minimal surfaces-based scaffolds for biomedical applications (June 2024)
This paper was presented at the June 2024 NAFEMs Conference. NAFEMS is the International Association for the Engineering Modelling, Analysis and Simulation Community.
Metallic scaffolds are used as implants to help heal bones. Sheet-based Triply
Periodic Minimal Surfaces (TPMS) are of interest due to their high surface-to-volume ratio (S/V), customisable stiffness, and can be realised using Additive Manufacturing (AM). Other studies investigate porosity and pore size of scaffolds but they frequently overlook S/V, which is critical for cellular response. Additionally, the limitation of AM (esp. Selective Laser Melting (SLM)) causes discrepancies between intended and actual physical and mechanical properties of those structures, and this also needs to be addressed. This work investigates three types of TPMS scaffolds made in pure Titanium, with an emphasis on design vs manufactured differences and the significance of S/V. As-designed scaffolds reported 70-75% porosity and 25-35 cm-1 S/V, and stiffness was measured using finite element analysis (FEA) at 6.7-9.3 GPa. The manufactured scaffolds had 59-70% porosity and 33-42 cm-1 S/V. Laboratory compression testing revealed an effective Young’s modulus of 5-9 GPa, comparable to bone. Image-based simulation method was also employed on the built samples which reported the stiffness range of 8.3-16.6 GPa, overestimating it by 57%. It is hypothesised that these discrepancies stem from the secondary roughness deposited on the scaffold walls during SLM, causing reduction in porosity yet not contributing to structure’s strength. The cyber physical validation methods presented are a good way to quantify these
discrepancies, allowing feedback to the design stages for more predictable as manufactured structures.https://www.nafems.org/publications/resource_center/uk24_ext_abs_18