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Grant: Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives

École de Technologie Supérieure

$95,810.00

Tool path generation and optimization platform for multi-axis processes with parameterization at geometric kernel level

FY 2022-23 · 2023-03-01

Summary
In this project, the goal is to reduce the errors between a modelled object and the real object manufactured by an additive or incremental process by proposing innovative tools for generating more accurate and versatile trajectories. Initially, the project will address the problem of error compensation by deformation of parts in computer-aided design (CAD). The objective is to have an efficient and rich CAD reconstruction tool to allow geometric compensation of errors related to the manufacturing process and thus improve the final accuracy of the parts. Subsequently, the parametric cutting of the CAD object will be considered as well as the tool paths that are required for additive or incremental processes. NRC’s contribution will focus on process simulation and industry-relevant CAD object data.
Program
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Location
Montreal|Montréal, Quebec, Canada
Recipient Type
Academia
Business Number
121943716
Type
Grant
Source
Proactive Disclosure - Grants and Contributions

Amendments

Each version of the agreement as published, oldest first, with its total as of that version. The amount above is the latest.

AmendmentDateFiscal YearTotal
02023-03-012022-23$191,400.00
12023-03-012022-23$118,046.00
22023-03-012022-23$95,810.00

As published

Additional Information
This agreement has been amended 2 time(s). The total amended value is $95,810.
Additional Information (French)
Cet accord a été modifié 2 fois. La valeur totale des modifications est de $95,810. dollars.
Agreement End Date
2026-02-28
Agreement Number
1002436
Agreement Start Date
2023-03-01
Agreement Title
Tool path generation and optimization platform for multi-axis processes with parameterization at geometric kernel level
Agreement Title (French)
Plateforme de génération et d’optimisation de trajectoire d’outils pour les procédés multiaxes avec paramétrisation au niveau du noyau géométrique
Agreement Type
Grant
Agreement Value
$95,810.00
Amendment Date
2025-09-22
Amendment Number
2
Description
In this project, the goal is to reduce the errors between a modelled object and the real object manufactured by an additive or incremental process by proposing innovative tools for generating more accurate and versatile trajectories. Initially, the project will address the problem of error compensation by deformation of parts in computer-aided design (CAD). The objective is to have an efficient and rich CAD reconstruction tool to allow geometric compensation of errors related to the manufacturing process and thus improve the final accuracy of the parts. Subsequently, the parametric cutting of the CAD object will be considered as well as the tool paths that are required for additive or incremental processes. NRC’s contribution will focus on process simulation and industry-relevant CAD object data.
Description (French)
Le Projet vise à réduire les erreurs entre un objet modélisé et l’objet réel fabriqué par un procédé additif ou incrémental en proposant des outils novateurs de génération de trajectoires plus précis et polyvalents. Dans un premier temps, le Projet abordera la problématique de compensation des erreurs par déformation des pièces en conception assistée par ordinateur (CAO). Le but étant d’avoir un outil de reconstruction CAO efficace et riche pour permettre une compensation géométrique des erreurs liées au processus de fabrication et ainsi améliorer la précision finale des pièces. Par la suite, la découpe paramétrique de l’objet CAO sera considérée ainsi que les parcours d’outil qui sont nécessaires pour les procédés additifs ou incrémentaux. La contribution du CNRC portera sur la simulation des procédés et les données d’objets CAO pertinents pour l’industrie.
Expected Results
In the short term, anticipated outcomes will be strengthened collaborations across industry, academia, and government to support research excellence. In the medium term, anticipated outcomes will be the development of new and potentially disruptive technologies with collaborators. In the long term, find collaborative solutions to public policy challenges and create stronger innovation systems.
Expected Results (French)
À court terme, les résultats prévus seront des collaborations renforcées entre l'industrie, le milieu universitaire et le gouvernement pour soutenir l'excellence en recherche. À moyen terme, les résultats attendus seront le développement de nouvelles technologies potentiellement perturbatrices avec des collaborateurs. À long terme, trouver des solutions collaboratives aux défis des politiques publiques et créer des systèmes d'innovation plus solides.
Federal Riding
Ville-Marie--Le Sud-Ouest--Île-des-Soeurs
Federal Riding (French)
Ville-Marie--Le Sud-Ouest--Île-des-Soeurs
Federal Riding Number
24077
NAICS Code
541710
Organization Code
nrc-cnrc
Organization
National Research Council Canada | Conseil national de recherches Canada
Program Name
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Program Name (French)
Programme de collaboration en science, en technologie et en innovation - Initiatives de collaboration en R-D
Program Purpose
Collaborate on multiparty research and development programs to catalyze transformative, high-risk, high-reward research with the potential for game-changing scientific discoveries and technological breakthroughs in priority areas.
Program Purpose (French)
Collaborer à des programmes multipartites de recherche-développement dans le but de profiter de la synergie entre la recherche transformatrice à haut risque et à haut rendement et le potentiel de découvertes scientifiques et de percées technologiques révolutionnaires dans des secteurs d’intervention prioritaires.
Recipient Business Number
121943716
Recipient City
Montreal|Montréal
Recipient Country
CA
Recipient Legal Name
École de Technologie Supérieure
Recipient Postal Code
H3C 1K3
Recipient Province or Territory
QC
Recipient Type
S
Reference Number
172-2022-2023-Q4-1002436