Design and Evaluation of a Laser Triangulation System for Pencil Lead Defect Inspection
High volume pencil manufacturing often generates substantial material waste due to a small proportion of products having missing or recessed graphite leads. Standard vision-based quality control processes discard entire wooden slats that carry any faulty pencils, causing excessive waste of usable wood and graphite resources. This study describes the design and implementation of a laser triangulation-based inspection system for lead defect detection after individual pencils are cut from the slat. The system combines a two-dimensional laser profile scanner with synchronized triggering sensors and a programmable logic controller (PLC)-controlled pneumatic rejection unit. Using the systematic design methodology for VDI 2221, a functional prototype was developed, which was then tested in a simulated production system with a throughput of up to 200 pencils per minute. The proposed system was able to detect missing and recessed leads highly accurately and correctly classified 98–100% of pencils without false rejections of acceptable products. The most common type of defect was missing or deeply recessed lead with an accuracy of 98.5%, and the less common partial-lead fractures had a lower percentage of detection of nearly 92% due to geometric sensitivity. The developed inline inspection system was successful in identifying and rejecting defective pencils without the waste of materials and provided a viable alternative of economical implementation with less than a one-year payback period. Through its increased resource efficiency and decreased raw material waste, the proposed system contributes to the United Nations Sustainable Development Goals, namely SDG 9 (Industry, Innovation, and Infrastructure) and SDG 12 (Responsible Consumption and Production).
Authors
- Mutaz Ryalat (ORCID: https://orcid.org/0000-0001-6620-7504)
- Natheer Almtireen (ORCID: https://orcid.org/0000-0003-3959-892X)
- David Schubert (ORCID: https://orcid.org/0000-0002-4190-6154)
- Khalid Kurik
Institutions
- German Jordanian University (JO)
- Steinhauser (Czechia) (CZ)
Publication Details
- Journal
- Applied System Innovation
- Published
- 2025-11-29
- DOI
- https://doi.org/10.3390/asi8060184
- Primary Topic
- Industrial Vision Systems and Defect Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00