Evidence map›Paper›PMID 40933595›Full record

Article3D printing and additive manufacturing2025

Influence of Substrate Material and Sensor Geometry Variations on the Performance of Fused Deposition Modeling-Printed Strain Sensors.

Sevittrangampatty Kandasamy Dhinesh, Senthil Kumar Kallippatti Lakshmanan, Nagarajan Pitchandi

Abstract read
In one paragraph

Article in 3D printing and additive manufacturing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Sevittrangampatty Kandasamy DhineshDepartment of Mechatronics, Bannari Amman Institute of Technology, Sathyamangalam, Tamil Nadu, India.ORCID https://orcid.org/0000-0002-4368-628X
Senthil Kumar Kallippatti LakshmananDepartment of Mechatronics, Bannari Amman Institute of Technology, Sathyamangalam, Tamil Nadu, India.
Nagarajan PitchandiDepartment of Mechatronics, Bannari Amman Institute of Technology, Sathyamangalam, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

3D printing technology has made fabrication of electronics and sensors a cost-effective and customisable approach. Fabrication of 3D-printed strain gauges through fused deposition modeling technology offers compatibility and flexibility in adopting different substrate and conductive materials. The performance of a 3D-printed strain sensor depends on the selection of the conductive and substrate materials. This work focuses on the effects of substrate material variations and sensor geometrical variations on sensitivity, accuracy, stability, and working range of conductive polylactic acid (CPLA)-based 3D-printed strain sensor. Four variants of thermoplastic polyurethane (TPU) materials with different shore hardness values such as thermoplastic elastomer (TPE) 70A, eLastic TPE 83A, eFlex TPU 87A, and eTPU 95A have been chosen as the substrate materials. Strain sensors are 3D printed with all TPU substrate variants with CPLA in five different configurations, namely linear, serpentine, square, triangular, and trapezoidal. The resistance change ratios of the printed sensors, gauge factor, strain limits, and hysteresis error are computed by loading the sensor over various strain values under multiple cycles. Results revealed that the CPLA-eTPU 95A in triangular configuration outperforms other TPU variants in terms of gauge factor and hysteresis error. The gauge factor and hysteresis error exhibited by the CPLA-eTPU 95A in triangular configuration are 18.63% higher and 18.37% lower than that of CPLA-eFlex TPU 87A sensor, respectively. This happens due to high elastic modulus and shape recovery characteristics of eTPU 95A substrate; whereas the stretching limit of eTPU 95A is 25% lower than the eFlex TPU 87A substrate. Finally, by changing the vertical distance between the surface layers of the sensing element and the substrate material as 0.1 mm, a significant increase of 54% in the working range of CPLA-eTPU 95A strain sensor was observed.

Indexed as

3D printingCPLA-based strain sensorflexible sensorgauge factorhysteresisstrain sensor configurationstretching limit

Identifiers

PMID40933595
PMCPMC12417851

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.