Article citationsMore>>

Tan, K. (2018) Predicting Compressive Strength of Recycled Concrete for Construction 3D Printing Based on Statistical Analysis of Various Neural Networks. Journal of Building Construction and Planning Research, 6, 71-89. https://doi.org/10.4236/jbcpr.2018.62005

has been cited by the following article:

• TITLE: Compression Strength Analysis of Customized Shoe Insole with Different Infill Patterns Using 3D Printing

  AUTHORS: Bhaskar Orsu, Yousuf Pasha Shaik

  KEYWORDS: Three-Dimensional, Customizable, Thermoplastic Polyurethane, Fused Deposition Modeling, Compressive, Shoe Insole

  JOURNAL NAME: Open Access Library Journal, Vol.9 No.5, May 30, 2022

  ABSTRACT: This work proposes a design process for customizing three-dimensional (3D) printed shoe insoles to improve an individual’s footwear comfort based on body weight index and activity requirements. The purpose of this research is that people with various types of feet can benefit from these customizable insoles. PolyFlex Thermoplastic Polyurethane (TPU) materials based on the Fused Deposition Modeling (FDM) technique were investigated in this study. Samples with different infill patterns (Triangle, Rectilinear, Cubic, and Gyroid) were used to determine the mechanical properties of the samples. Here, the samples with different infill percentages (25%, 40%, and 60%) went through compression testing. The infill pattern is applied to the shoe insole based on the compressive modulus and compressive strength values. This study produces a customized 3D printed shoe insole based on the individual’s requirements using a single material with the minimum material, time, and cost.