A digitizing craftsmanship: a comparative study of traditional vs. SDF-based shoe last making using 3D scanning and computer numerical control technologies

Introduction This study compares traditional and advanced shoe last manufacturing processes, emphasizing the integration of 3D scanning and the SDF (Sistema Definizione Forma) system to improve efficiency and precision. Methods In the traditional method, physical models are manually sculpted and digitized using mechanical digitizers. These are then machined via CNC systems, requiring manual finishing—particularly in toe and heel areas—due to clamping limitations. Branding is completed using conventional heat embossing tools. In contrast, the advanced method employs digital modeling tools (e.g., Rhino software) to directly create shoe last designs. These digital files are processed in SDF-enabled CNC machines, utilizing a dovetail gripping mechanism that allows full-surface precision turning and eliminates the need for manual finishing. Logos and markings are applied using laser printing. Results The SDF-based approach demonstrated over 70% improvement in production speed, an 80% reduction in manual intervention, and sub-millimetric dimensional accuracy. Surface finish, repeatability, and suitability for mass customization were also significantly enhanced. Discussion Findings support that the SDF-based method enables a more sustainable, scalable, and higher-quality production process compared to traditional methods, offering clear advantages for modern footwear manufacturing.

Authors

Institutions

Publication Details

Journal
Frontiers in Mechanical Engineering
Published
2025-06-24
DOI
https://doi.org/10.3389/fmech.2025.1610798
Citations
1
Primary Topic
Energy Efficiency and Management
Type
article
Field-Weighted Citation Impact
0.36

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A digitizing craftsmanship: a comparative study of traditional vs. SDF-based shoe last making using 3D scanning and computer numerical control technologies

B. N. Suresh, Gopal Surya, P. Anbarasan
1 citations
Frontiers in Mechanical Engineering
Energy Efficiency and Management
0.36
article

A digitizing craftsmanship: a comparative study of traditional vs. SDF-based shoe last making using 3D scanning and computer numerical control technologies

B. N. Suresh, Gopal Surya, P. Anbarasan
article en
1 citations

Abstract

Introduction This study compares traditional and advanced shoe last manufacturing processes, emphasizing the integration of 3D scanning and the SDF (Sistema Definizione Forma) system to improve efficiency and precision. Methods In the traditional method, physical models are manually sculpted and digitized using mechanical digitizers. These are then machined via CNC systems, requiring manual finishing—particularly in toe and heel areas—due to clamping limitations. Branding is completed using conventional heat embossing tools. In contrast, the advanced method employs digital modeling tools (e.g., Rhino software) to directly create shoe last designs. These digital files are processed in SDF-enabled CNC machines, utilizing a dovetail gripping mechanism that allows full-surface precision turning and eliminates the need for manual finishing. Logos and markings are applied using laser printing. Results The SDF-based approach demonstrated over 70% improvement in production speed, an 80% reduction in manual intervention, and sub-millimetric dimensional accuracy. Surface finish, repeatability, and suitability for mass customization were also significantly enhanced. Discussion Findings support that the SDF-based method enables a more sustainable, scalable, and higher-quality production process compared to traditional methods, offering clear advantages for modern footwear manufacturing.

Frontiers in Mechanical EngineeringVol. 11
Vellore Institute of Technology University (IN)
VIT University
Openalex Percentile: Top 42%
Energy Efficiency and Management
0.36
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.