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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: February 2026
Volume 11 | Issue 2
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Impact Factor : 8.14
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| Paper Title: | AI-Assisted Concept Evaluation and Structural Validation of a Household Debris Collection Tool. |
| Authors Name: | ROHITH B R , Mennangkhraw Diengdoh , Dr.Sujan Chakraborty , Vinayak R Hebbar , Dr. Ramesh S Sharma |
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| Author Reg. ID: |
IJRTI_209419
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| Published Paper Id: | IJRTITH06003 |
| Published In: | Volume 11 Issue 1, January-2026 |
| DOI: | |
| Abstract: | Household dustpans are commonly used cleaning implements; however, many commercially available designs continue to present practical challenges during routine domestic use. Frequent issues include excessive bending during operation, inadequate containment of collected debris, instability during sweeping or storage, and overall user discomfort. Although significant progress has been made in ergonomics and systematic product design, comparatively little attention has been given to the structured evaluation and validation of dustpan concepts through the combined use of engineering analysis and intelligent decision-support methods. To address this limitation, the present study proposes an AI-assisted framework for the comparative evaluation and structural validation of a household debris collection tool. Three alternative dustpan concepts were generated using a structured conceptual design methodology and assessed under representative operating scenarios. Static structural analyses were carried out using polypropylene material properties to examine mechanical behavior during sweeping, lifting, and upright load-bearing conditions. Key simulation outputs, including stress distribution and displacement characteristics, were extracted and utilized as quantitative inputs for AI-driven concept comparison and ranking. In parallel, an AI-supported ergonomic assessment was conducted using geometric parameters derived from two-dimensional design representations to evaluate factors such as handle length, posture influence, and effective dust collection width. Based on the combined outcomes of the structural and ergonomic analyses, one concept consistently demonstrated superior performance relative to the other alternatives. Subsequent AI-assisted dimensional refinement was applied exclusively to this highest-ranked concept to support informed decisions regarding handle length and dustpan width. The results indicate that integrating AI-based decision-support techniques with simulation-driven validation enhances objectivity and consistency in early-stage concept selection, even for low-complexity household products. Rather than replacing conventional design reasoning, the proposed approach strengthens engineering judgment by providing structured, data-informed support during the conceptual design phase. |
| Keywords: | Household product design, dustpan concept evaluation, artificial intelligence, decision support systems, ergonomic assessment, static structural analysis, simulation-based validation, conceptual design, usability-focused design. |
| Cite Article: | "AI-Assisted Concept Evaluation and Structural Validation of a Household Debris Collection Tool.", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.11, Issue 1, page no.a345-a408, January-2026, Available :http://www.ijrti.org/papers/IJRTITH06003.pdf |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTITH06003
Registration ID:209419
Published In: Volume 11 Issue 1, January-2026
DOI (Digital Object Identifier):
Page No: a345-a408 Country: BENGALURU, KARNATAKA, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTITH06003 Published Paper PDF: https://www.ijrti.org/papers/IJRTITH06003 |
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ISSN: 2456-3315
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