Joe Miskell

Analytical and outcome-driven professional with diverse experience in managing and developing arc-based additive manufacturing processes. Experienced in the development, operation and testing of both development Wire-Arc Additive Manufacturing (WAAM) systems and prototype commercial WAAM systems. Possesses strong theoretical background in AM processes, metallurgy, system design, and post-processing technologies through completing an industry accredited MSc in Metal Additive Manufacturing. Gaining in-depth knowledge of physical principles, such as operating characteristics and practical applications of AM processes. Strong communication, interpersonal, and organisational skills developed through adoption of customer-facing roles, group projects, and extracurricular activities.

Additive Manufacturing Engineer - WAAM3D (2021-present)

Employed in a diverse role acting as a subject-matter expert in the development, integration, sole operation and testing of both development WAAM systems and prototype commercial WAAM systems. Undertaking part building projects, utilising CAD and Design for Additive Manufacture (DfAM) expertise to conceptualise build strategies and create programs for component manufacture. Coordinating with customers to carry out life cycle assessments and produce component cost and lead time estimations. Using SolidWorks to design custom tooling, substrates, and component preforms. Using proprietary software to devise innovative path planning strategies. Fully independent machine setup/operation, purging of argon atmospheres and deposition control. 

● Headed a rapid testing and development program for a prototype commercial WAAM system. Coordinating development, robotics and software engineers to successfully deliver a first prototype turnkey solution. 

● Managed all aspects of the additive manufacture lifecycle of numerous large scale (100kg+) Ti-6Al-4V components for the aerospace industry. Meeting deadlines under delivery pressures. 

● Independently operated a process parameter development program for novel materials. In preparation for depositing the company's first multi-material functionally-graded parts to support the security industry. 

● Successfully deposited large scale (40kg+) steel rotary components for the oil and gas industry. Producing right-first-time parts, contributing to the development of a lean production environment.

● Critical in the development, integration and testing of a new fully automated purging system. Including the creation and execution of an experimental test program to develop an efficient purging configuration, maximising cost savings by reducing purging time by 40% and argon usage by 20%. 

● Produced an innovative tooling design, including generating CAD and technical drawings, then procuring materials and fabrication work to deliver the first prototype.

 

MSc in Metal Additive Manufacturing - Cranfield University 

Course Modules: Metal Additive Manufacturing Processes, Additive Manufacturing System Design, Metal Additive Manufacturing Metallurgy, NDT, Mechanical Testing & Microstructure Examination, Management of Manufacturing Quality, Finite Element Analysis, Net-shape Manufacturing, Post-processing for AM, General Management. 

Group Thesis: Critical Literature Review of Dissimilar Material, Small Feature Additive Manufacturing. Investigated the maturity of several metal AM processes for building a 316L/Cu multi-material component, focusing on bi-metal and small feature capabilities. Used an analytical hierarchal process to analyse each process reviewed against pre-determined criteria including technological maturity, multi-material capabilities, part performance, size, and geometrical capabilities as well as operational aspects, such as overall system cost and post-processing requirements. 

Individual Thesis: A Readiness Review of an Industry 4.0 Enabled Framework for Laser Additive Manufacturing. Conducted a literature review of Industry 4.0 technologies in LAM applications, including closed-loop monitoring, data management systems, and digital twins. Proposed an Industry 4.0 enabled LAM framework consisting of a closed-loop monitoring system, a cyber-physical component, and a digital component. Allowing for autonomous process control with real-time microstructural and mechanical property predictions.