Preprint
Article

This version is not peer-reviewed.

Effects of Infill Pattern and Density on Mechanical Performance and Plantar Pressure Distribution of 3D-Printed Insoles During Walking

Submitted:

11 March 2025

Posted:

12 March 2025

You are already at the latest version

Abstract
Diabetic foot ulcer patients are usually unaware of excessive pressure on their feet due to lost pressure sensitivity. Offloading insoles are used to alleviate foot pain. This study investigated the effect of infill pattern and infill density on plantar pressure reduction for 3D-printed insoles while walking. The study involves five infill patterns: grid, honeycomb, triangle, cubic, and gyroid, along with several infill densities ranging from 14% to 20%. The test 3D-printed thermoplastic polyurethane specimens were assessed for mechanical properties to identify suitable infill patterns for creating prototypes of insoles. The results indicated that the honeycomb infill pattern exhibited the highest maximum compression load at 50% compressive strain and has a significant area under the loading-unloading curve, signifying high energy absorption. Conversely, the gyroid infill pattern exhibited the lowest maximum compression load at 50% compressive strain and minimal energy absorption. Both infill patterns with 20% infill density were applied in 3D-printed insoles and tested on the foot plantar pressure of healthy male volunteers during walking. No statistically significant differences in plantar pressure were observed between the two infill patterns compared to walking without insoles. However, the reduction of plantar pressure at hindfoot region was noticed when using the insoles.
Keywords: 
;  ;  ;  ;  
Subject: 
Engineering  -   Bioengineering

1. Introduction

Diabetes mellitus (DM) is a non-communicable disease which affects the daily life of patients and is associated with poor health outcomes. A common complication of diabetic patients is diabetic foot syndrome which can be developed to a severe complication such as diabetic foot ulcer (DFU). It was reported that the global prevalence of DFU was 6.3% which was higher in males than in females and higher in patients with type 2 DM than that with type 1 DM [1]. The management of DFU becomes a challenge in the healthcare service and it also leads to a socioeconomic burden [2,3]. Many strategies have been implemented to manage foot DFU such as glycaemic control, pharmacological therapy, topical oxygen therapy, wound dressing and debridement [3,4]. One effective strategy of preventive management for DFU is the off-loading strategy which aims to reduce and redistribute weight-bearing load over an area of the foot. Several off-loading devices have been applied to diabetic patients including total contact cast, removable cast walkers, orthotic devices and custom-made shoes and insoles [2,3,5]. The effective off-loading of diabetic foot is mandatory for ulcer healing and ulcer recurrence prevention.
Additive manufacturing technology has been introduced for prototype fabrication and final product fabrication. It is the process of making an object by building material, layer-by-layer, such as 3D-printing technology. Currently, 3D-printing technology has become popular and easily available as desktop equipment, especially fused deposition modeling (FDM). Making a diabetic custom-made insole using the FDM method can reduce many steps in the fabrication process compared to a conventional insole manufacturing which is laborious work [6]. Furthermore, conventional insole manufacturing causes harmful particles which can affect the respiratory system and environment [7]. Several studies fabricated 3D-printed insoles for diabetic feet using the FDM method [6,8,9,10,11]. Various thermoplastic materials can be printed with FDM method i.e. acrylonitrile butadiene styrene (ABS), polylactic acid (PLA), polycarbonate (PC), thermoplastic elastomer (TPE) and thermoplastic polyurethane (TPU) etc. When making a 3D-printed insole for diabetic foot, frequently used material is TPU due to homogeneous, isotropic and soft elastic material [9]. Furthermore, excluding the 3D printer setup, important printing factors include not only material but also infill pattern and infill density. These two factors can affect printing time, material usage and the mechanical properties and off-loading characteristic of insole.
Several computational and experimental studies have been conducted with different infill structures such as porous structural unit and lattice structures [11,12,13,14,15]. Kumar et al. proposed a 3D-printed insole using Kelvin lattice structure which can reduce plantar pressure and promotes more balanced weight distribution [13]. Ali et al. performed the simulation using three lattice meshes of midsole designs including hexagonal, elliptical and circular lattice structures [14]. They showed the highest maximum stress occurring in the midsole with the elliptical lattice structure. Their work concluded that using combination of lattice structure to increase the energy absorption capacity or providing more local comfort to user’s requirements. Jonnala and colleagues reported that the gyroid structure has a high specific energy absorption capability when compared to the solid structure. This characteristic is beneficial to the orthotic insole [11]. They suggested that the infill density parameter should be considered for the selection of the structure for 3D-printed insole. Chatzistergos and colleagues varied the stiffness of 3D-printed footbeds by changing the infill density [16]. They showed that stiffer footbeds were suitable for participants who have high body mass index. It was also reported that 3D-printed insole shows better comfort improvement compared to the prefabricated insole in patients with symptomatic flatfoot [17]. However, there are still limited studies that consider the effects of infill pattern and infill density of 3D printing on the mechanical properties based on experimental studies and consequently tests in human subjects to observe the plantar pressure distribution during gait. This study investigated this gap by performing five different infill patterns (honeycomb, grid, triangular, cubic and gyroid patterns) and four different infill densities (14%, 16%, 18%, 20%) for mechanical properties testing. Furthermore, we investigated the effects of selected infill pattern and density using in 3D-printed insole on the plantar pressure distribution during walking in healthy subjects which is valuable information for an insole design for diabetic patients.

2. Materials and Methods

2.1. Specimen Preparation

The standard test specimens were 28.6±0.1 mm in diameter and 12.5±0.5 mm in thickness as suggested in ASTM D575-91. The test specimens were printed using Pro 2 Plus 3D printer (Raise 3D Technologies, Inc., Lake Forest, CA, United States). The material was TPU filament (PolyFlexTM TPU95, Polymaker, Changshu, China). The ideaMaker® slicing software version 4.4.1(Raise 3D Technologies, Inc., Lake Forest, CA, United States) was used to assign infill pattern and density. Honeycomb, grid, triangular, cubic and gyroid patterns were printed with four different infill densities (14%, 16%, 18%, 20%) as shown in Figure 1. For each infill density, three test specimens were prepared.

2.2. Mechanical Properties Test

The test specimens were performed a compression test at 50% strain using the Instron 8872 series of servohydraulic testing systems (Instron, Norwood, MA, United State). Loading and unloading conditions were performed during the test according to ASTM D575-91. Each test specimen was repeated 4 times and maximum compressive load and area under the loading-unloading curves were determined.

2.3. Insole Fabrication

The 3D-printed insoles were designed as simple flat insoles with a length of 26.5 mm and a thickness of 3 mm, like a cushion insole, using a computer-aided design software-ANSYS SpaceClaim, 3D modeling software, (ANSYS, Inc., Canonsburg, PA, United States). The insoles were fabricated using Pro 2 Plus 3D printer (Raise 3D Technologies, Inc., Lake Forest, CA, United States) and PolyFlexTM TPU95 (Polymaker, Changshu, P.R. China). Figure 2 shows the 3D-printed flat insole.

2.4. Plantar Pressure Measurement

Ten healthy male participants without any foot deformity were recruited to measure the plantar pressure wearing with and without 3D-printed insoles. The study protocol was approved by the ethical committee of Faculty of Medicine, Prince of Songkla University with the approval number REC.66-188-38-2. Plantar pressure was measured using Pedar® system (Novel gmbh, Munich, Germany), an in-shoe plantar pressure sensors, during 3 rounds of 10-metre walking at self-selected speed. The test was conducted at the Southern Medical Rehabilitation Centre of Songklanagarind Hospital.

2.5. Gait Data Analysis

In each participant, five consecutive gait cycles were analyzed and post-processed plantar pressure data to segment it into stance and swing phases. Then, mean plantar pressure of each side in three regions of the foot (hindfoot, midfoot and forefoot) and area under the curve of force-time during stance phase of the gait cycle were determined. One-way ANOVA was performed to determine the significance of mean plantar pressure and area under the force-time curve. The statistical significance is defined when p<0.05.

3. Results

3.1. Mechanical Property Testing

Figure 3 shows maximum compression load of test specimens with different infill patterns and infill densities. Increasing infill density potentially provides a higher compression load for every infill pattern. At 50% strain test, honeycomb infill pattern presents the highest maximum compression load that can be applied on specimens during the loading-unloading test whereas gyroid infill pattern is the lowest. The loading-unloading test showed that TPU has viscoelastic material properties (Figure 4). In the first trial of loading-unloading test, specimen was in a pre-condition. Therefore, trial 2 to trail 4 were taken into consideration. The patterns of the loading-unloading plot looked similar for each infill pattern. When we calculated the area under the loading-unloading curves, which represented energy absorption, we found that honeycomb infill pattern mostly had maximum area, whereas gyroid infill pattern had minimum area as shown in Figure 5. The loading-unloading area increased when the infill density increased. Therefore, we selected these two infill patterns, honeycomb and gyroid, to investigate the plantar pressure during walking.

3.2. Plantar Pressure in Gait

In this study, ten healthy male participants were recruited, and their demographic data are presented in Table 1. All participants are adults with the dominant right-hand side. Table 2 shows the mean plantar pressure during gait in three-foot regions when walking with and without 3D-printed insoles. It is noticed that the right foot has slightly lower mean plantar pressure compared to the left foot. Hindfoot and forefoot regions are high mean plantar pressure areas when walking with or without 3D-printed insoles. Using 3D-printed insoles, there is no significant difference in mean plantar pressure in each foot region when compared to walking without insole.
Center of pressure (COP) trajectories, green lines, during walking with and without 3D-printed insoles are displayed in Figure 6. The trajectories start from heel to forefoot regions, and they look different for each participant. In common, these trajectories line in the middle and move to medial side in the midfoot region more than lateral side. Table 3 presents the area under the force-time curve during gait. It shows that walking without insoles has the lowest force-time integral (FTI) compared to walking with 3D-printed insoles. Wearing 3D-printed insoles with honeycomb infill pattern provides the highest FTI. However, our investigations show no statistically significant difference in FTI between wearing 3D-printed insoles and not wearing them.

4. Discussion

This study demonstrated that infill patterns and density play important roles in mechanical properties of 3D-printed objects, especially for making an insole. The findings of this study suggest that stiffness of 3D-printed object depends on infill pattern and infill density. Walking with insoles, the selected infill pattern (honeycomb and gyroid) with 20% infill density could reduce the plantar pressure at the heel around 10% when compared to walking without insole. However, there was increased plantar pressure in midfoot and forefoot regions when using insoles. This addresses the insole design and printing parameters that need to be considered when making the 3D-printerd insoles for diabetic patients.
There are several materials which are commonly used for insoles such as gel, foam, cork and leather. These materials range from good flexibility to good firmness to add an extra cushion, support and control. It was reported that low to moderate stiffness materials are suitable for cushioning function [18,19]. Softer materials provide comfortable accommodation, whereas stiffer materials are more durable [20]. Chatzistergos et al. pointed out that correct selection of cushioning stiffness can significantly reduce plantar pressure, and stiffer cushioning materials were necessary for higher BMI [16]. They also showed increased infill densities from 10% to 20% provided higher relative stiffness for 3D-printed TPU footbeds. Their finding was like our study that increased infill densities obtained higher maximum compression load, especially for honeycomb and gyroid patterns. Orsu and Shaik looked at the compression strength of customized shoe insole with different infill patterns and infill densities using 3D printing [21]. Four infill patterns were investigated with 25%, 40% and 60% infill densities, they were triangle, rectilinear, cubic and gyroid. Compressive strength was higher when the infill density increased for all infill patterns. Gyroid and Cubic infill patterns had lower compressive strength compared to the other two patterns. Their finding has similar results to our study which showed that gyroid and cubic infill patterns had lower maximum compression load compared to the other three patterns. However, in our study, honeycomb infill pattern provides the highest maximum compression load among five infill patterns, not triangle infill pattern. Peker and colleagues performed mechanical tests on the 3D printed specimens using elastic filament and found that hardness, Young’s modulus and tensile stress were increased when infill density was increased [6]. Some computational studies looked at the most effective insole infill for plantar pressure and weight distribution. Koteswari and Yeole used finite element analysis to demonstrate that the lattice structures affected maximum stress and deformation [12]. Similarly, Kumar et al. numerically showed that increasing number of unit cell enhances higher stiffness of the insole model and unit cell architecture plays a role on stiffness [13].
Cushioning, shock absorption and durability are important features of diabetic insoles which help to distribute pressure across the foot, reduce the impact of walking or standing and long-lasting support, respectively. Our study showed that TPU showed a viscoelastic behavior when under the loading-unloading compression test. The energy absorbed during a loading-unloading cycle are different in each infill pattern and infill density. Honeycomb infill pattern possibly has a good shock absorption characteristic due to high energy absorption while gyroid infill pattern has low energy absorption. Furthermore, our study revealed that increased infill density provided higher energy absorption. Our findings were supported by Jonnala et al. who reported that gyroid structure showed lower elastic absorbed energy per unit volume than solid structure[11] and Xiao et al. who concluded that density is a major factor which influences cushioning energy absorption performance [22]. Materials with high energy absorption and elastic modulus indicate its potential application in dampers, shock absorbers and cushioning [23]. It was found that the specimens taken from the single material insole had larger relative energy dissipation compared to that taken from the dual-material insole, providing higher stress response [24,25]. However, good energy absorption materials relate to high stiffness which should be considered when using them as materials for diabetic insoles.
3D-printed insoles have been proposed in many studies for diabetic foot management in the aspect of off-loading function and plantar pressure reduction. Stiffness optimization of 3D-printed footbeds was conducted in fifteen diabetic patients by Chatzistergos et al. and they found that the optimum stiffness resulted in maximum percentage of plantar pressure reduction [16]. In our study, subjects walked with 3D-printed insoles had lower mean plantar pressure in the hindfoot region on both left and right sides than without insoles whereas they had elevated mean plantar pressure in other regions of foot. Kumar and Sarangi used 3D-printed insoles made of kelvin lattice infill to look at the plantar pressure distribution during standing and showed that the insole-clad foot condition had lower average pressure compared to the barefoot condition, similar in both feet [13]. Another study by Zuniga et al. found that 3D-printed insoles using thermoplastic polyurethane polyester-based polymer with hexagonal infill pattern and 40% infill density had lower average peak pressure than the standard insole [26]. Zuniga et al also reported that another filament that they used for 3D-printed insoles showed slightly higher average peak pressure than the standard insoles. This suggests that wearing insole is beneficial in plantar pressure reduction. This benefit is also supported by Muir and colleagues who confirmed that the 3D-printed personalized metamaterials insoles could reduce plantar pressure in offloading regions [27].
Total contact insole (TCI) with graded-stiffness showed a reduction in peak plantar pressure better than normal TCI, flat insole with graded-stiffness and normal flat insole during walking, especially during upward acceleration [9]. Our study used 3D-printed flat insoles that might not fit the foot shape of each participant, but they were able to reduce plantar pressure at the heel. In clinical practice, contoured insoles are provided to diabetic patients due to their offloading performance [25,28]. The material selection for insoles is also important for offloading performance and soft insole materials usually had a better performance than the rigid insole materials. Furthermore, thickness of insole can influence offloading performance as well as energy absorption. In our study, 3D-printed insole with 3 mm thickness were tested. This might be a reason that there is no significant difference in plantar pressure reduction and area under the curve of force-time plot when compared to walking without insole. Cheung and Zhang studied a parametric design of pressure-relieving foot orthosis using statistics-based finite element method and addressed several factors in reducing peak plantar pressure including arch-conforming, insole stiffness and insole thickness [29]. Tang et al. proposed a new design method to optimize the stress distribution of the contact surfaces between the foot and the insole using functional gradient structure via porous structural units (cube) to the 3D-printed insole, leading to reduce the peak plantar pressure [30]. Furthermore, we could not clearly distinguish the difference of center of pressure (COP) trajectory between with 3D-printed insoles and without insole. There are various paths of COP which are different for each participant. However, there was a study that showed types of material, stiffness, thickness and shape of insole effect on COP trajectory [25,31].
This study has several limitations which should be further improved and investigated. First, the design and thickness of the insole should be modified. As previously mentioned, contoured and optimized stiffness insoles should be designed, printed and tested. Flexural fatigue, durability and comfort ability test should be done with 3D-printed insole to look at the effects of infill pattern and density on these characteristics [16,32]. It is better to perform the effectiveness of 3D-printed insoles on plantar pressure reduction and distribution in diabetic patients who have an early stage of foot ulceration to obtain more insights of users.

5. Conclusions

The effects of infill pattern and density were investigated on mechanical properties of 3D-printed specimens and on plantar pressure reduction of 3D-printed insoles. The findings of this study show that both factors notably influence stiffness and energy absorption. Increased infill densities provided higher maximum compression load (higher stiffness) and area under the loading-unloading curve (energy absorption). Among 5 infill patterns, the honeycomb infill pattern gave the highest stiffness whereas the gyroid infill pattern showed the lowest stiffness. However, when applying honeycomb infill pattern and gyroid infill pattern at 20% infill density, there was no significant difference in plantar pressure reduction between with and without 3D-printed insoles. There was slightly reduced plantar pressure in a hindfoot region during walking whereas other foot regions had elevated plantar pressure when wearing 3D-printed insoles. We suggest that optimized stiffness should be considered when offloading is focused on diabetic feet.

Acknowledgments

We acknowledge the participants who volunteered for this study. We thank Ms. Kitthida Riabroi for helping the mechanical testing of specimens and Ms. Nusreena Hohsoh for the participant recruitment and data recording. This work was supported by National Science, Research and Innovation Fund (NSRF) and Prince of Songkla University (Grant No. MED6601240S) and Horizon Europe Framework Programme (Grant No. 101086348).

Conflicts of Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

References

  1. P. Zhang, J. Lu, Y. Jing, S. Tang, D. Zhu, Y. Bi, Global epidemiology of diabetic foot ulceration: a systematic review and meta-analysis, Ann Med 49 (2017) 106–116. [CrossRef]
  2. K. Jones, M.R. Backhouse, J. Bruce, Rehabilitation for people wearing offloading devices for diabetes-related foot ulcers: a systematic review and meta-analyses, J Foot Ankle Res 16 (2023). [CrossRef]
  3. J.Z.M. Lim, N.S.L. Ng, C. Thomas, Prevention and treatment of diabetic foot ulcers, J R Soc Med 110 (2017) 104–109. [CrossRef]
  4. V. Ramachandran, T. Mohanasundaram, D. Karunakaran, M. Gunasekaran, R. Tiwari, Physiological and Pathophysiological Aspects of Diabetic Foot Ulcer and its Treatment Strategies, Curr Diabetes Rev 19 (2023). [CrossRef]
  5. P.R. Cavanagh, S.A. Bus, Off-loading the diabetic foot for ulcer prevention and healing, J Vasc Surg 52 (2010). [CrossRef]
  6. A. Peker, L. Aydin, S. Kucuk, G. Ozkoc, B. Cetinarslan, Z. Canturk, A. Selek, Additive manufacturing and biomechanical validation of a patient-specific diabetic insole, Polym Adv Technol 31 (2020). [CrossRef]
  7. J. Cheng, J.-C. Wang, Exploring the Feasibility of Advanced Manufacturing for Mass Customization of Insoles in the Context of ESG, International Journal of Precision Engineering and Manufacturing-Green Technology 11 (2024) 815–832. [CrossRef]
  8. M. Mancuso, R. Bulzomì, M. Mannisi, F. Martelli, C. Giacomozzi, 3D-Printed Insoles for People with Type 2 Diabetes: An Italian, Ambulatory Case Report on the Innovative Care Model, Diabetology 4 (2023). [CrossRef]
  9. X. Zhang, P. Chu, X. Ma, W.M. Chen, 3D-Printed Insole Designs for Enhanced Pressure-Relief in Diabetic Foot Based on Functionally-Graded Stiffness Properties, in: IFMBE Proc, 2024. [CrossRef]
  10. K.R. Kumar, P. Vinothkumar, N. Soms, Investigation on the Development of Custom Foot Insole Using Soft Polylactic Acid by Fused Deposition Modelling Technique, J Mater Eng Perform 32 (2023) 1790–1796. [CrossRef]
  11. U.K. Jonnala, R. sankineni, Y. Ravi Kumar, Design and development of fused deposition modeling (FDM) 3D-Printed Orthotic Insole by using gyroid structure, J Mech Behav Biomed Mater 145 (2023). [CrossRef]
  12. S. Koteswari, S.N. Yeole, Development of 3D printed orthotic device for flat foot problem, Mater Today Proc 44 (2021) 2435–2441. [CrossRef]
  13. R. Kumar, S.K. Sarangi, 3D Printed customized diabetic foot insoles with architecture designed lattice structures – a case study, Biomed Phys Eng Express 10 (2024) 015019. [CrossRef]
  14. A. Zolfagharian, M. Lakhi, S. Ranjbar, M. Bodaghi, Custom Shoe Sole Design and Modeling Toward 3D Printing, Int J Bioprint 7 (2021). [CrossRef]
  15. Y.F. Hudak, J.S. Li, S. Cullum, B.M. Strzelecki, C. Richburg, G.E. Kaufman, D. Abrahamson, J.T. Heckman, B. Ripley, S. Telfer, W.R. Ledoux, B.C. Muir, P.M. Aubin, A novel workflow to a fabricate patient-specific 3D printed accommodative foot orthosis with personalized latticed metamaterial, Med Eng Phys 104 (2022). [CrossRef]
  16. P.E. Chatzistergos, A. Gatt, C. Formosa, K. Farrugia, N. Chockalingam, Optimised cushioning in diabetic footwear can significantly enhance their capacity to reduce plantar pressure, Gait Posture 79 (2020) 244–250. [CrossRef]
  17. R. Xu, Z. Wang, Z. Ren, T. Ma, Z. Jia, S. Fang, H. Jin, Comparative Study of the Effects of Customized 3D printed insole and Prefabricated Insole on Plantar Pressure and Comfort in Patients with Symptomatic Flatfoot, Medical Science Monitor 25 (2019) 3510–3519. [CrossRef]
  18. A.C. Faulí, C.L. Andrés, N.P. Rosas, M.J. Fernández, E.M. Parreño, C.O. Barceló, Physical Evaluation of Insole Materials Used to Treat the Diabetic Foot, J Am Podiatr Med Assoc 98 (2008) 229–238. [CrossRef]
  19. F. Nilsen, M. Molund, E.M. Lium, K.H. Hvaal, Material Selection for Diabetic Custom Insoles: A Systematic Review of Insole Materials and Their Properties, JPO Journal of Prosthetics and Orthotics 34 (2022) e131–e143. [CrossRef]
  20. U. Hellstrand Tang, R. Zügner, V. Lisovskaja, J. Karlsson, K. Hagberg, R. Tranberg, Comparison of plantar pressure in three types of insole given to patients with diabetes at risk of developing foot ulcers - A two-year, randomized trial, J Clin Transl Endocrinol 1 (2014). [CrossRef]
  21. B. Orsu, Y.P. Shaik, Compression Strength Analysis of Customized Shoe Insole with Different Infill Patterns Using 3D Printing, OAlib 09 (2022) 1–13. [CrossRef]
  22. Y. Xiao, J. Yin, X. Zhang, X. An, Y. Xiong, Y. Sun, Mechanical performance and cushioning energy absorption characteristics of rigid polyurethane foam at low and high strain rates, Polym Test 109 (2022) 107531. [CrossRef]
  23. S.K. Reddy, D.B. Ferry, A. Misra, Highly compressible behavior of polymer mediated three-dimensional network of graphene foam, RSC Adv. 4 (2014) 50074–50080. [CrossRef]
  24. G. Melia, P. Siegkas, J. Levick, C. Apps, Insoles of uniform softer material reduced plantar pressure compared to dual-material insoles during regular and loaded gait, Appl Ergon 91 (2021). [CrossRef]
  25. M. Nouman, T. Dissaneewate, W. Leelasamran, S. Chatpun, The insole materials influence the plantar pressure distributions in diabetic foot with neuropathy during different walking activities, Gait Posture 74 (2019). [CrossRef]
  26. J. Zuñiga, M. Moscoso, P.G. Padilla-Huamantinco, M. Lazo-Porras, J. Tenorio-Mucha, W. Padilla-Huamantinco, J.P. Tincopa, Development of 3D-Printed Orthopedic Insoles for Patients with Diabetes and Evaluation with Electronic Pressure Sensors, Designs (Basel) 6 (2022). [CrossRef]
  27. B.C. Muir, J.-S. Li, Y.F. Hudak, G.E. Kaufman, S. Cullum, P.M. Aubin, Evaluation of novel plantar pressure-based 3-dimensional printed accommodative insoles - A feasibility study, Clinical Biomechanics 98 (2022) 105739. [CrossRef]
  28. Q.Q. Shi, P.L. Li, K.L. Yick, N.W. Li, J. Jiao, Effects of contoured insoles with different materials on plantar pressure offloading in diabetic elderly during gait, Sci Rep 12 (2022). [CrossRef]
  29. J.T.M. Cheung, M. Zhang, Parametric design of pressure-relieving foot orthosis using statistics-based finite element method, Med Eng Phys 30 (2008). [CrossRef]
  30. L. Tang, L. Wang, W. Bao, S. Zhu, D. Li, N. Zhao, C. Liu, Functional gradient structural design of customized diabetic insoles, J Mech Behav Biomed Mater 94 (2019). [CrossRef]
  31. L. Jin, The Influence of Different Footwear Insole Stiffness on Center of Pressure and Ankle Kinematics during Walking: A Case Report, Biomechanics (Switzerland) 2 (2022). [CrossRef]
  32. M.C. Iacob, D. Popescu, D. Petcu, R. Marinescu, Assessment of the Flexural Fatigue Performance of 3D-Printed Foot Orthoses Made from Different Thermoplastic Polyurethanes, Applied Sciences (Switzerland) 13 (2023). [CrossRef]
Figure 1. Five infill patterns and four infill densities created for test specimens.
Figure 1. Five infill patterns and four infill densities created for test specimens.
Preprints 152056 g001
Figure 2. Flat insole drawing for 3D printer.
Figure 2. Flat insole drawing for 3D printer.
Preprints 152056 g002
Figure 3. Maximum compression load of test specimens with five infill patterns (honeycomb, grid, triangle, cubic and gyroid) and four infill densities (14%, 16%, 18%, 20%).
Figure 3. Maximum compression load of test specimens with five infill patterns (honeycomb, grid, triangle, cubic and gyroid) and four infill densities (14%, 16%, 18%, 20%).
Preprints 152056 g003
Figure 4. The loading-unloading test at 50% strain on test specimens with 20% infill density of five infill patterns (GR: Gyroid, CB: Cubic, TR: Triangle, GD: Grid and HC: honeycomb).
Figure 4. The loading-unloading test at 50% strain on test specimens with 20% infill density of five infill patterns (GR: Gyroid, CB: Cubic, TR: Triangle, GD: Grid and HC: honeycomb).
Preprints 152056 g004
Figure 5. The area under the loading-unloading curves of test specimens with five infill patterns (honeycomb, grid, triangle, cubic and gyroid) and four infill densities (14%, 16%, 18%, 20%).
Figure 5. The area under the loading-unloading curves of test specimens with five infill patterns (honeycomb, grid, triangle, cubic and gyroid) and four infill densities (14%, 16%, 18%, 20%).
Preprints 152056 g005
Figure 6. Center of pressure trajectories during walking with and without 3D-printed insoles in two participants.
Figure 6. Center of pressure trajectories during walking with and without 3D-printed insoles in two participants.
Preprints 152056 g006
Table 1. The demographic data of 10 healthy male participants.
Table 1. The demographic data of 10 healthy male participants.
Demographics
Age (years) 23.10 ± 3.25
Gender (male/female) 10/0
BMI (kg/m2) 22.93 ± 1.43
Foot length (cm) 25.52 ± 0.97
Side of dominant (left/right) 0/10
Table 2. The mean plantar pressure during gait in three regions of the foot when walked with 3D-printed insoles and without insoles.
Table 2. The mean plantar pressure during gait in three regions of the foot when walked with 3D-printed insoles and without insoles.
Mean plantar pressure (kPa)
Infill pattern Hindfoot Midfoot Forefoot
Left Right Left Right Left Right
None 58.21±10.64 52.97±5.10 16.43±3.45 21.84±8.46 58.06±7.99 38.51±11.15
Honeycomb 51.80±10.33 47.26±8.31 19.26±4.19 27.57±10.75 56.99±7.81 45.00±14.82
Gyroid 54.56±9.67 46.27±6.84 18.53±2.54 26.81±7.47 62.27±8.96 40.46±9.91
Table 3. The area under the force-time curve during gait with and without 3D-printed insoles.
Table 3. The area under the force-time curve during gait with and without 3D-printed insoles.
Insole AUC (N·s)
None 337.75 ± 45.31
Honeycomb 377.40 ± 49.52
Gyroid 374.43 ± 48.73
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
Prerpints.org logo

Preprints.org is a free preprint server supported by MDPI in Basel, Switzerland.

Subscribe

Disclaimer

Terms of Use

Privacy Policy

Privacy Settings

© 2025 MDPI (Basel, Switzerland) unless otherwise stated