Publications

AFRC-PRS02510-DIRF06432-D1.1-WP1 - Data exploration and visualisation of existing furnace data

Andreu Aurik, Jayasinghe Sarini, Chalkley Eleanor

(2023)

AFRC-PRS02485-DIRF06432-D2.1-Technical presentation describing the potential recommendations for process improvement / efficiency

Andreu Aurik, Chalkley Eleanor

(2023)

AFRC_PRS1315_CORD1137 - D3.1 Induction Heating - Bifrangi Site visit presentation

Andreu Aurik, Chalkley Eleanor

(2019)

AFRC_TRP969_CORE814 - AFRC_CORE_814_ GAS FURNACE CONTINUATION PROJECT Report

Andreu Aurik, Chalkley Eleanor, Mawbey Andrew

(2018)

AFRC_PRS924_CATP785 - Emissivity calibration furnace

Andreu Aurik, Chalkley Eleanor

(2018)

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Professional Activities

Strategic Themes - IEEE Distinguished Lecture Series – GE Gas Measurement Sensor Technologies

Participant

26/11/2024

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Projects

AFRC - CRAD - 1716 Doing More with Less – Cogging Automation

Krishnamurthy, Bhaskaran (Researcher) Huang, Jianglin (Project Lead) Barbera, Daniele (Researcher) Andreu, Aurik (Researcher) Parolin, Paolo (Researcher) Falsafi, Javad (Researcher) Chalkley, Eleanor (Researcher)

This project aims to create an integrated platform for the fully automated design, simulation, and digitalization of the cogging process, using advanced tools such as easy2forge, FORGE, and qobeo. The platform will provide engineers with easy access to cogging process design and optimisation. By automating and digitizing the cogging process design, the platform will facilitate better data collection, storage and management, providing fundamental support to the digital transformation of cogging operations.

20-Jan-2024 - 31-Jan-2025

AFRC_CORE_06223_Furnace Energy Efficiency Topics

Andreu, Aurik (Co-investigator) Chalkley, Eleanor (Principal Investigator)

Multiple economic and environmental factors continue to increase the importance of energy efficiency in the heating processes involved in forging and forming operations. Previous work in CORE projects has covered the evolution of part temperatures, the optimisation of heat treatments and the response of furnaces to particular process events, but to enable stakeholders to capitalise on these insights an end-to-end process approach to energy usage is required.
By creating a scalable solution for furnace modelling during the full process cycle, the baseline energy usage can be calculated and validated against in-use case studies. This work will include the quantification of energy usage during a full process, using cogging as an example process.
The methodologies developed in this project are expected to have wider application outside the immediate processes and systems of the AFRC, and form a toolkit for general furnace energy efficiency improvement work.

01-Jan-2023 - 31-Jan-2023

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