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Jonathan E. Makem

dblp:25/11468 · DBLP profile ↗
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4ranked-venue papers
2as first author
1since 2021 · last 2022
0000-0002-8666-9578ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 4 · 2 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
3 papers
Geometric modeling and processing · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational science and engineering · 100%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Geometric modeling and processing
mesh generation
1.332022
Bicameral Mesh Gradation with a Controlled Advancing Front Approach · Comput. Aided Des. 2022
Automatic Feature Recognition Using the Medial Axis for Structured Meshing of Automotive Body Panels · Comput. Aided Des. 2020
Singularities in structured meshes and cross-fields · Comput. Aided Des. 2018
Geometric modeling and processing › mesh generation
structured meshing
0.822020
Automatic Feature Recognition Using the Medial Axis for Structured Meshing of Automotive Body Panels · Comput. Aided Des. 2020
Singularities in structured meshes and cross-fields · Comput. Aided Des. 2018
Geometric modeling and processing
feature recognition
0.412020
Automatic Feature Recognition Using the Medial Axis for Structured Meshing of Automotive Body Panels · Comput. Aided Des. 2020
Geometric modeling and processing › vector field design
cross fields
0.312018
Singularities in structured meshes and cross-fields · Comput. Aided Des. 2018
Computational science and engineering
finite element analysis
0.112012
A virtual inspection framework for precision manufacturing of aerofoil components · Comput. Aided Des. 2012
Geometric modeling and processing › shape analysis
medial axis
0.112020
Automatic Feature Recognition Using the Medial Axis for Structured Meshing of Automotive Body Panels · Comput. Aided Des. 2020

Methods — techniques the papers use, named apart from their topics

advancing front approach · 0.6singularity analysis · 0.3registration · 0.1free-form surface evaluation · 0.1finite element method · 0.1
YearPublicationVenuePosition
2022 Bicameral Mesh Gradation with a Controlled Advancing Front Approach
Nilanjan Mukherjee 0002, Jean Cabello, Jonathan E. Makem
Comput. Aided Des.3
2020 Automatic Feature Recognition Using the Medial Axis for Structured Meshing of Automotive Body Panels
Jonathan E. Makem, Harold J. Fogg, Nilanjan Mukherjee 0002
Comput. Aided Des.1
2018 Singularities in structured meshes and cross-fields
Harold J. Fogg, Jonathan E. Makem, Cecil G. Armstrong, Trevor T. Robinson
Comput. Aided Des.3
2012 A virtual inspection framework for precision manufacturing of aerofoil components
abstract
The finite element method plays an extremely important role in forging process design as it provides a valid means to quantify forging errors and thereby govern die shape modification to improve the dimensional accuracy of the component. However, this dependency on process simulation could raise significant problems and present a major drawback if the finite element simulation results were inaccurate. This paper presents a novel approach to assess the dimensional accuracy and shape quality of aeroengine blades formed from finite element hot-forging simulation. The proposed virtual inspection system uses conventional algorithms adopted by modern coordinate measurement processes as well as the latest free-form surface evaluation techniques to provide a robust framework for virtual forging error assessment. Established techniques for the physical registration of real components have been adapted to localise virtual models in relation to a nominal design model. Blades are then automatically analysed using a series of intelligent routines to generate measurement data and compute dimensional errors. The results of a comparison study indicate that the virtual inspection results and actual coordinate measurement data are highly comparable and the procedures for registration and virtual inspection are computationally efficient, validating the approach as an effective and accurate means to quantify forging error in a virtual environment. Consequently, this provides adequate justification for the implementation of the virtual inspection system in the virtual process design, modelling and validation of forged aeroengine blades in industry.
Jonathan E. Makem, Hengan Ou, Cecil G. Armstrong
Comput. Aided Des.1