Pith. sign in

REVIEW 3 major objections 6 minor 32 references

Folding-Driven Auxetic Weft Knit Textiles with Integrated Capacitive Sensing

T0 review · 3 major / 6 minor · reviewed 2026-07-12 · grok-4.5

Pith's one-line read A linear spring network predicts how checkerboard rib–garter knits unfold into tunable auxetic fabrics and built-in capacitive sensors.

desk verdict Usable reduced-order model plus single-step sensing for rib–garter checkerboard knits; transfer of pure-strip spring fits is the real caveat, not a deal-breaker. read the letter →

arxiv 2607.07713 v1 pith:MHOYHKH3 submitted 2026-07-02 cond-mat.soft cond-mat.mtrl-sci

classification cond-mat.softcond-mat.mtrl-sci
keywords weftknittingauxetictextilesribandgarterspring-networkmodelcapacitivestrainsensingpartialplatingprogrammablecorrugationsnegativePoisson'sratio
verification ladder T0 review T1 audit T2 compute T3 formal

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The reading

Machine knitting can program geometry and function stitch by stitch, but designers still lack simple tools that predict large-deformation mechanics. This paper shows that a checkerboard of rib and garter patches relaxes into 3D corrugations whose programmed unfolding under tension produces negative Poisson’s ratio, and that both the strength of that auxetic effect and the strain at which it appears are set by two unit-cell integers. A reduced-order network of only linear extensional and torsional springs, with parameters fitted solely to pure rib and garter strips, recovers the relaxed corrugated shapes and the local strain fields measured in experiments. The same architecture is fabricated with conductive pathways plated in during knitting, turning the unfolding ridges into capacitors whose sensitivity-versus-range trade-off is likewise controlled by geometry. The result is a concrete route from stitch pattern to designed shape-morphing and sensing textiles without post-processing.

What carries the argument

The reduced-order spring network: a rectangular grid of linear extensional springs (weft, warp, and weaker diagonals) linked by linear torsional springs whose rest angles encode the preferred curvature of rib versus garter ridges. Energy minimization first relaxes the flat grid into the corrugated state; the same network is then stretched to obtain local strain maps and effective Poisson’s ratio.

What would settle it

Fabricate a new (nstripe, nsubunit) pair, measure its relaxed unit-cell wavelength by Fourier analysis of the boundaries and its Poisson’s-ratio-versus-strain curve under the same acrylic-plate tensile protocol, and check whether the spring model with the original tables predicts both quantities within the same tolerance shown for the existing geometries.

Watch

Extended reading notes

Core claim

Programmed unfolding of corrugations in checkerboard arrangements of rib and garter patches generates tunable auxetic behavior whose magnitude and onset strain are both governed by the unit-cell geometry (nstripe, nsubunit). A spring-network model that uses only linear extensional and torsional springs, with parameters taken from pure n×n rib and garter fits, predicts both the relaxed corrugated configuration and the subsequent evolution of local strains under tension, matching experiment well enough to design the response.

Load-bearing premise

Stiffnesses and rest angles fitted only to the uniaxial curves of pure rib and garter strips transfer unchanged to the two-dimensional checkerboard, even after the sharp-fold idealization stops matching the flattened fabric.

Editorial extensions

If this is right

  • Unit-cell integers can be chosen so that a knitted textile exhibits a prescribed negative Poisson’s ratio at a chosen applied strain.
  • Partial plating of conductive yarns during knitting yields capacitive strain sensors whose sensitivity and operating range are set by the same geometric parameters that control auxeticity.
  • The same spring-network framework can be used as an inverse design tool to target prescribed shapes, auxetic windows, or sensing curves without re-deriving yarn-level mechanics.
  • Wider stripes and smaller unit cells systematically strengthen auxeticity, giving a simple design rule for more negative Poisson’s ratios.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

  • Because the model already captures interface frustration between rib and garter patches, it should transfer with little change to other non-periodic arrangements (stripes, gradients, or origami-like flat-face folds) once the corresponding pure-pattern parameters are measured.
  • The abrupt simulated drop in transverse strain after full unfolding suggests that adding a mild nonlinear stiffening term to the extensional springs would extend quantitative accuracy into the post-unfolding regime without increasing mesh density.
  • The same plating geometry that forms capacitors could be re-routed as resistive or inductive pathways, allowing multi-modal sensing on a single knitted architecture.
Share X Bluesky LinkedIn Reddit HN

Signed reviews

No signed human review yet.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, and a circularity audit.

Referee Report

3 major / 6 minor

Summary. The manuscript develops a reduced-order spring-network model of linear extensional and torsional springs for weft-knit textiles built from checkerboard arrangements of rib and garter patches. Parameters (ks, kt, θ0) are fitted to uniaxial stress–strain curves of pure n×n rib and garter strips (Tables 1–2) and then reused, without re-fitting, to predict (i) the relaxed corrugated geometry of 2D checkerboards (sinusoidal patch boundaries) and (ii) local strain evolution under tension. Combining simulations with experiments, the authors show that programmed unfolding of the corrugations produces tunable auxetic response, with both the magnitude of the negative Poisson’s ratio and the applied strain at which the minimum occurs controlled by unit-cell geometry (nstripe, nsubunit). They further introduce partial plating of conductive yarns during knitting to embed capacitive strain sensors in a single manufacturing step, and report programmable tradeoffs between capacitance sensitivity and operating strain range for a small set of geometries.

Significance. If the central claims hold, the work supplies a practical design route for mechanically programmable, sensorized knits that is more accessible than yarn-level contact simulations and more predictive than purely empirical device-scale fits. Strengths include: multi-geometry experimental validation of relaxed wavelengths via DFT (Fig. 5), qualitative agreement of local strain maps (Fig. 7) and non-monotonic εxx and ν(ε) trends (Fig. 8), an explicit reduced-order energy formulation (Eqs. 1–9), and a fabrication method (partial plating) that eliminates post-processing for knitted capacitors. The open data statement (GitHub) further supports reproducibility. The combination of folding-driven auxeticity with in-fabric capacitive sensing is of clear interest for soft robotics and wearables.

major comments (3)
  1. [§3–§5, Tables 1–2, Figs. 5 and 8] §3–§5 and Tables 1–2: The load-bearing modeling claim is that ks, kt, and θ0 fitted solely to pure n×n rib/garter uniaxial curves transfer without re-fitting to checkerboard relaxation and unfolding kinematics (including the fixed ~1:2 stitch aspect that pairs n×n rib with 2n×2n garter springs). Multi-geometry wavelength collapse (Fig. 5D) and qualitative ν trends (Fig. 8) already constrain this transfer, but the manuscript does not report quantitative error metrics (e.g., RMSE or peak-location error on min ν and on εxx(εapplied) across the (nstripe, nsubunit) family). Please add such metrics, and a brief sensitivity check on how ± variations in the pure-strip parameters affect predicted min ν and its strain location, so that the design utility of the transferred parameters is bounded rather than asserted.
  2. [§5, Fig. 8] §5 (text around Fig. 8): The authors correctly note that after full flattening the sharp-fold idealization fails and simulated εxx drops more abruptly than experiment. The auxetic peak (min ν between εapplied ≈ 0.1–0.2) lies in the pre-flattening regime the model is meant to capture, so this is not fatal, but the manuscript should state more explicitly the strain window over which the model is considered predictive for design (e.g., up to the εxx maximum / completion of unfolding) and avoid implying quantitative accuracy of ν after that point.
  3. [§6, Fig. 10] §6 and Fig. 10: The claim of “programmable tradeoffs between strain sensitivity and sensing range” and the prediction that varying nstripe and nsubunit will tune the capacitance–strain slope (final paragraph of §6) rest on four measured geometries plus mechanical kinematics, without a capacitance model or a systematic sensing map over the same (nstripe, nsubunit) family used in Fig. 8. The experimental curves are valuable; please either (i) measure capacitance for additional unit cells that span the auxetic family, or (ii) temper the language so that “programmable” is clearly prospective where only four samples are shown, and separate measured tradeoffs from model-based extrapolation.
minor comments (6)
  1. [§3.1, Eq. (1)] Eq. (1) and surrounding text: Δℓ_0i and Δθ_0i are written with a subscript 0 that is easy to misread as a rest-length index; clarify notation (e.g., Δℓ_i, Δθ_i relative to rest values ℓ_0, θ_0).
  2. [Fig. 1D–E, Methods] Fig. 1D–E: Stress–strain axes and normalization (force per what width/thickness?) should be stated in the caption or Methods so that fitted ks units [N/mm] can be interpreted consistently.
  3. [§3.2, Eqs. (3)–(9)] §3.2: The choices k_wall = 10^2 N/mm, z_max = 6.0 mm, ρ_s = 0.11 kg/m^2, and the viscous damping c are introduced without a short justification or sensitivity note; a sentence that in-plane kinematics are insensitive to these within a stated range would help.
  4. [Fig. 7] Fig. 7: Color-scale limits for ε^i_xx should be identical across experiment and simulation panels (and across A–C if possible) to make visual comparison fair.
  5. [Introduction, §3.2] Typos / wording: Abstract and title use “Folding-Driven”; body has occasional spacing issues (e.g., “FOLDING-DRIVENAUXETIC…” in the header block), “stich” for “stitch” in the Introduction, and “for for viscous” in §3.2. Clean these in production.
  6. [Methods, Fig. 8] Methods: State how many unit cells / samples underlie the averaged εxx, εyy, and ν curves in Fig. 8, and whether error bars or sample-to-sample variation were assessed.

Circularity Check

1 steps flagged · score 2.0 of 10

Pure-strip spring fits transferred to checkerboard geometries constitute standard calibration-plus-validation, not circular forcing; experimental wavelengths and Poisson trends supply independent checks.

  1. fitted input called prediction [§3.1 (fitting) + Abstract / §§4–5 (claimed predictions)]
    "For each value of n, the stiffnesses ks and kt and rest angle heta0 are determined by fitting to the corresponding experimental stress–strain curves of rib and garter n imes n samples (Figs. 1D and E)… The model accurately predicts the corrugated relaxed configuration of the knits and the evolution of local deformations under tensile loading using only linear extensional and torsional springs."

    ks, kt, heta0 are calibrated solely on pure-strip uniaxial curves; the same numerical values are then reused without re-fitting to generate the checkerboard relaxation and unfolding “predictions.” The composite response is not algebraically forced by those fits (new interfaces produce frustration), yet the paper’s predictive language inherits the pure-strip calibration, constituting mild fitted-input transfer rather than a first-principles derivation independent of the target class of data.

full rationale

The derivation chain is: (i) fit linear ks, kt, heta0 (and measure w/h) exclusively to uniaxial stress–strain of pure n imes n rib and garter strips (Tables 1–2, §3.1); (ii) assemble a 2-D/3-D network of those same springs plus ad-hoc diagonal min-stiffness and wall-penalty terms; (iii) relax the network from flat and then stretch it, claiming to “predict” checkerboard corrugation wavelengths (Fig. 5) and local-strain/Poisson evolution (Figs. 7–8). Because the pure-strip fits do not algebraically determine the interfacial frustration, sinusoidal boundaries, or the location/magnitude of min u, the composite kinematics are not forced by construction. Multi-geometry experimental agreement (wavelength collapse for nstripe>2, qualitative auxetic peaks between εapplied ≈ 0.1–0.2) therefore functions as genuine out-of-sample validation rather than tautology. Capacitance data are pure experiment with no model. Mild self-citations to prior knitting papers by overlapping authors supply background but are not load-bearing uniqueness claims. Residual risk is quantitative transferability after the sharp-fold idealization fails (explicitly noted in §5), which is a model-limitation issue, not circularity. Score 2 reflects only the mild “fitted-input-called-prediction” language surrounding the transferred parameters.

Assumptions & free parameters 8 free parameters · 5 assumptions · 2 invented entities

The central mechanical claims rest on a large set of stiffnesses and rest angles fitted to pure rib/garter strips, a few hand-set numerical regularizers, and domain assumptions that geometric unfolding of linear springs captures the dominant large-deformation kinematics of these knits. No new physical particles or forces are postulated; the spring network and partial-plating process are modeling/fabrication constructs. Independent experimental geometry and capacitance data partially ground the claims beyond the fits.

free parameters (8)
  • k_s^{warp}, k_t^{warp}, θ_0^{warp} per n×n garter
    Fitted to experimental stress–strain of pure garter for each n (Table 1); load-bearing for all subsequent checkerboard predictions that use those springs.
  • k_s^{weft}, k_t^{weft}, θ_0^{weft} per n×n rib
    Fitted to pure rib stress–strain for each n (Table 2); same transfer role as garter parameters.
  • k_wall
    Quadratic out-of-plane penalty stiffness set to 10^2 N/mm to suppress buckling; not measured from fabric.
  • z_max
    Hard bound 6.0 mm on nodal out-of-plane displacement in the wall potential; chosen for numerical convenience.
  • ρ_s (surface density)
    Lumped nodal mass uses ρ_s = 0.11 kg/m²; affects dynamics/relaxation path though not static energy minima.
  • viscous damping c
    Effective damping in the equations of motion; value not tabulated but required for time integration to equilibrium.
  • k_s^{diag} = min(k_s^{warp}, k_s^{weft})
    Ad hoc rule for cross-brace stiffness to reduce extensional stiffness; not independently measured.
  • w_weft, h_warp (measured periods)
    Taken from experimental corrugation geometry per n; geometric inputs that set mesh scale and couple to fitted stiffnesses.
assumptions (5)
  • domain assumption Pure rib/garter under uniaxial load can be treated as plane-strain zigzag chains of linear extensional springs joined by linear torsional springs whose energy is (1/2)ks Δℓ² + (1/2)kt Δθ².
    §3.1; enables reduced-order fitting of J-shaped curves via geometry alone.
  • domain assumption Individual knit stitches have aspect ratio approximately 1:2, so n×n rib stiffnesses pair with 2n×2n garter stiffnesses in the checkerboard model.
    §4 and Fig. 2; fixes which table entries populate each patch.
  • ad hoc to paper A quadratic wall potential with fixed z_max keeps deformations approximately planar without materially changing the in-plane kinematics of interest.
    Eqs. (2)–(5); numerical device not derived from yarn contact mechanics.
  • domain assumption Energy minimization / damped dynamics of the spring network from a flat state reproduces the physical relaxation after the fabric leaves the machine and is steamed.
    §4; equates numerical relaxation to manufacturing release.
  • standard math Local deformation gradients from four tracked markers approximated as parallelograms yield representative unit-cell strains and effective Poisson’s ratio.
    §5, Eqs. (10)–(13); standard continuum kinematics on discrete markers.
invented entities (2)
  • Partial plating conductive pathways as knitted parallel-plate / ridge capacitors independent evidence
    purpose: Embed capacitive strain sensing in one manufacturing step without post-processing.
    Fabrication construct demonstrated experimentally (Figs. 9–10); independent_evidence true via measurable capacitance–strain curves, not a new physical field.
  • 3D rectangular spring network with face-shared torsional springs for rib–garter checkerboards independent evidence
    purpose: Reduced-order surrogate for corrugated knit geometry and large-deformation kinematics.
    Modeling abstraction; falsifiable via geometry and strain comparisons but not an ontological new substance.

how reviews work

0 comments
Cite this review

Pith. "Pith review of Folding-Driven Auxetic Weft Knit Textiles with Integrated Capacitive Sensing." pith.science (2026). https://pith.science/paper/MHOYHKH3

@misc{pith2026260707713,
  author       = {Pith},
  title        = {Pith review of: Folding-Driven Auxetic Weft Knit Textiles with Integrated Capacitive Sensing},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/MHOYHKH3}},
  note         = {Machine review of arXiv:2607.07713}
}
read the original abstract

Machine knitting provides a scalable platform for manufacturing multifunctional textiles in which geometry, mechanics, and embedded functionality can be programmed at the stitch level. However, predictive design tools capable of linking knit architecture to large-deformation mechanical response remain limited. Here, we develop a reduced-order spring-network model that captures the relaxation, unfolding, and deformation of knitted fabrics composed of checkerboard arrangements of rib and garter patches. The model accurately predicts the corrugated relaxed configuration of the knits and the evolution of local deformations under tensile loading using only linear extensional and torsional springs. Combining simulations with experiments, we show that the programmed unfolding of the corrugations generates tunable auxetic behavior, with both the magnitude of the negative Poisson's ratio and the strain at which it occurs governed by the unit-cell geometry. We further integrate capacitive strain sensing directly during fabrication through partial plating of conductive yarns, eliminating post-processing. The resulting knitted capacitors exhibit programmable tradeoffs between strain sensitivity and sensing range, enabling either highly sensitive sensors over narrow deformation windows or lower-sensitivity sensors capable of measuring larger strains. Together, our modeling framework and fabrication strategy provide a route toward the rational design of mechanically programmable, sensorized knits with tailored shape-morphing and sensing functionalities.

Figures

Figures reproduced from arXiv: 2607.07713 by the authors.

Figure 1
Figure 1. A) Knitting diagrams of rib and garter stitch. B) Top [PITH_FULL_IMAGE:figures/full_fig_p002_1.png] view at source ↗
Figure 2
Figure 2. An example schematic of the unit cell of the fabric con [PITH_FULL_IMAGE:figures/full_fig_p004_2.png] view at source ↗
Figure 3
Figure 3. A–C) Relaxed configurations of fabrics composed of al [PITH_FULL_IMAGE:figures/full_fig_p005_3.png] view at source ↗
Figures from the paper (7 more)
Figure 4
Figure 4. Figure 4: A) Spring network used to model a fabric composed [PITH_FULL_IMAGE:figures/full_fig_p005_4.png]
Figure 6
Figure 6. Figure 6: Schematic of the procedure used to calculate the lattice [PITH_FULL_IMAGE:figures/full_fig_p006_6.png]
Figure 5
Figure 5. Figure 5: A) Top-view image of the relaxed configuration of a fabric [PITH_FULL_IMAGE:figures/full_fig_p006_5.png]
Figure 7
Figure 7. Figure 7: A–C) Relaxed (εapplied = 0) and stretched (εapplied = 0.23) configurations of fabrics composed of alternating rib and garter patches with (nstripe, nsubunit) = A) (8, 48), B) (4, 16), and C) (4, 32). For each fabric, experimental results are shown in the top row and th…
Figure 8
Figure 8. Figure 8: Evolution of the average local transverse strain, [PITH_FULL_IMAGE:figures/full_fig_p008_8.png]
Figure 9
Figure 9. Figure 9: A) Schematic illustrating the partial plating technique, in which a conductive yarn is selectively plated with inert yarns, enabling arbitrary conductive pathways to be embedded within the textile. B) Photograph of a sample fabricated using the partial plating techniqu…
Figure 10
Figure 10. Figure 10: A–B) Using the partial plating technique, we knit con [PITH_FULL_IMAGE:figures/full_fig_p009_10.png]

Discussion (0). Continue with ORCID to comment.

Reference graph

Works this paper leans on

32 extracted references · 6 canonical work pages

  1. [1]

    Tuning the Electromechanical Perfor- mance of Knitted Strain Sensors through Stitch Variation

    Adeel Abbas et al. “Tuning the Electromechanical Perfor- mance of Knitted Strain Sensors through Stitch Variation”. In: ACS Applied Engineering Materials4.1 (Jan. 2026), pp. 243– 253.DOI: 10 . 1021 / acsaenm . 5c00925.URL: https : / / doi . org / 10 . 1021 / acsaenm . 5c00925(visited on 03/22/2026)

  2. [2]

    Auxetic warp knit textile structures

    Kim Alderson et al. “Auxetic warp knit textile structures”. In:Physica Status Solidi (B) Basic Research249.7 (2012), pp. 1322–1329.ISSN: 03701972.DOI: 10 . 1002 / pssb . 201084216

  3. [3]

    Batch fabrication of customizable silicone- textile composite capacitive strain sensors for human motion tracking

    Asli Atalay et al. “Batch fabrication of customizable silicone- textile composite capacitive strain sensors for human motion tracking”. In:Advanced Materials Technologies2.9 (2017), p. 1700136

  4. [4]

    A Highly Sensitive Capacitive-Based Soft Pressure Sensor Based on a Conductive Fabric and a Microporous Dielectric Layer

    Ozgur Atalay et al. “A Highly Sensitive Capacitive-Based Soft Pressure Sensor Based on a Conductive Fabric and a Microporous Dielectric Layer”. In:Advanced Materials Technologies3.1 (2018), pp. 1–8.ISSN: 2365709X.DOI: 10.1002/admt.201700237

  5. [5]

    https: //github.com/bertoldi-collab/tracking-markers

    Giovanni Bordiga.A humble image tracking code. https: //github.com/bertoldi-collab/tracking-markers . Bertoldi Group. 2023

  6. [6]

    Unravelling the mechanics of knit- ted fabrics through hierarchical geometric representation

    Xiaoxiao Ding et al. “Unravelling the mechanics of knit- ted fabrics through hierarchical geometric representation”. In:Proceedings of the Royal Society A480.2295 (2024), p. 20230753

  7. [7]

    Origami-patterned capacitor with programmed strain sen- sitivity

    Kristen L Dorsey, HuiYing Huang, and Yuhan Wen. “Origami-patterned capacitor with programmed strain sen- sitivity”. In:Multifunctional Materials5.2 (2022), p. 025001

  8. [8]

    Machine-knitted seamless pneu- matic actuators for soft robotics: design, fabrication, and characterization

    Hend M Elmoughni et al. “Machine-knitted seamless pneu- matic actuators for soft robotics: design, fabrication, and characterization”. In:Actuators. V ol. 10. 5. MDPI. 2021, p. 94

Show all 32 references
  1. [9]

    Performance and predic- tion of large deformation contractile shape memory alloy knitted actuators

    Kevin Eschen and Julianna Abel. “Performance and predic- tion of large deformation contractile shape memory alloy knitted actuators”. In:Smart Materials and Structures28.2 (2019), p. 025014

  2. [10]

    In-situ strain- and temperature-control X-ray micro- diffraction analysis of nickel–titanium knitted architectures

    Kevin Eschen, Javier Garcia-Barriocanal, and Julianna Abel. “In-situ strain- and temperature-control X-ray micro- diffraction analysis of nickel–titanium knitted architectures”. In:Materialia11 (2020), p. 100684.ISSN: 25891529.DOI: 10.1016/j.mtla.2020.100684 .URL: https://doi....

  3. [11]

    Ac- tive Knit Compression Stockings for the Treatment of Or- thostatic Hypotension

    Rachael Granberry, Julianna Abel, and Brad Holschuh. “Ac- tive Knit Compression Stockings for the Treatment of Or- thostatic Hypotension”. In:Proceedings of the 2017 ACM International Symposium on Wearable Computers. ISWC ’17. Maui, Hawaii: Association for Computing Machinery,...

  4. [12]

    Functionally graded knitted actua- tors with NiTi-based Shape Memory Alloys for topograph- ically self-fitting wearables

    Rachael Granberry et al. “Functionally graded knitted actua- tors with NiTi-based Shape Memory Alloys for topograph- ically self-fitting wearables”. In:Advanced materials tech- nologies4.11 (2019), p. 1900548

  5. [13]

    Kinetically tunable, active auxetic, and variable recruitment active textiles from hierarchical assemblies

    Rachael Granberry et al. “Kinetically tunable, active auxetic, and variable recruitment active textiles from hierarchical assemblies”. In:Advanced Materials Technologies6.3 (2021), p. 2000825

  6. [14]

    Development of auxetic fabrics using flat knitting technology

    Hong Hu, Zhengyue Wang, and Su Liu. “Development of auxetic fabrics using flat knitting technology”. In:Tex- tile Research Journal81.14 (2011), pp. 1493–1502.ISSN: 00405175.DOI:10.1177/0040517511404594

  7. [15]

    Auxetic textiles

    Hong Hu, Minglonghai Zhang, and Yanping Liu. “Auxetic textiles”. In:Auxetic Textiles(2019), pp. 1–358.ISSN: 1318- 0207.DOI:10.1016/C2016-0-04399-1

  8. [16]

    Simulating cloth at the yarn level

    Jonathan Kaldor. “Simulating cloth at the yarn level”. In: 2008, pp. 100–100.DOI:10.1145/1400468.1400541

  9. [17]

    OmniFiber: Integrated fluidic fiber actuators for weaving movement based interactions into the ‘fabric of everyday life’

    Ozgun Kilic Afsar et al. “OmniFiber: Integrated fluidic fiber actuators for weaving movement based interactions into the ‘fabric of everyday life’”. In:The 34th Annual ACM Sym- posium on User Interface Software and Technology. 2021, pp. 1010–1026

  10. [18]

    Digital fabrication of pneumatic actuators with integrated sensing by machine knitting

    Yiyue Luo et al. “Digital fabrication of pneumatic actuators with integrated sensing by machine knitting”. In:Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. 2022, pp. 1–13

  11. [19]

    Review on the knitted structures with auxetic effect

    Pibo Ma et al. “Review on the knitted structures with auxetic effect”. In:The Journal of The Textile Institute108.6 (2017), pp. 947–961

  12. [20]

    Knitting multistability

    Kausalya Mahadevan et al. “Knitting multistability”. In:Ad- vanced Functional Materials(2026), e76385

  13. [21]

    Automatic machine knitting of 3d meshes

    Vidya Narayanan et al. “Automatic machine knitting of 3d meshes”. In:ACM Transactions on Graphics37.3 (2018). ISSN: 15577368.DOI:10.1145/3186265

  14. [22]

    Design and com- putational modeling of fabric soft pneumatic actuators for wearable assistive devices

    Pham Huy Nguyen and Wenlong Zhang. “Design and com- putational modeling of fabric soft pneumatic actuators for wearable assistive devices”. In:Scientific reports10.1 (2020), p. 9638

  15. [23]

    Geo- metric modeling of knitted fabrics

    Lauren Niu, Geneviève Dion, and Randall D Kamien. “Geo- metric modeling of knitted fabrics”. In:Proceedings of the National Academy of Sciences122.7 (2025), e2416536122

  16. [24]

    Unfolding textile-based pneumatic actuators for wearable applications

    Ciarán T O’Neill et al. “Unfolding textile-based pneumatic actuators for wearable applications”. In:Soft Robotics9.1 (2022), pp. 163–172

  17. [25]

    Haptiknit: Distributed stiffness knitting for wearable haptics

    Cosima du Pasquier et al. “Haptiknit: Distributed stiffness knitting for wearable haptics”. In:Science Robotics9.97 (2024), eado3887

  18. [26]

    The Crowood Press Ltd, 2025

    Victoria Salmon.Structural Stitches: A Machine Knitter’s Guide to Creating Form and Structure. The Crowood Press Ltd, 2025

  19. [27]

    Tex- tile technology for soft robotic and autonomous garments

    Vanessa Sanchez, Conor J Walsh, and Robert J Wood. “Tex- tile technology for soft robotic and autonomous garments”. In:Advanced functional materials31.6 (2021), p. 2008278

  20. [28]

    3D Knitting for Pneumatic Soft Robotics

    Vanessa Sanchez et al. “3D Knitting for Pneumatic Soft Robotics”. In:Advanced Functional Materials(2023), p. 2212541

  21. [29]

    Design of planar isotropic negative Pois- son’s ratio structures

    Sicong Shan et al. “Design of planar isotropic negative Pois- son’s ratio structures”. In:Extreme Mechanics Letters4 (2015), pp. 96–102. 11 APREPRINT- JULY10, 2026

  22. [30]

    Programming mechanics in knitted materials, stitch by stitch

    Krishma Singal et al. “Programming mechanics in knitted materials, stitch by stitch”. In:Nature Communications15.1 (2024), p. 2622

  23. [31]

    Curling morphology of knitted fabrics: Structure and Mechanics

    Kotone Tajiri et al. “Curling morphology of knitted fabrics: Structure and Mechanics”. In:Extreme Mechanics Letters76 (2025), p. 102300

  24. [32]

    The Design of 3D Shape Knitted Pre- forms

    Jenny Underwood. “The Design of 3D Shape Knitted Pre- forms”. Doctoral Thesis. RMIT University, 2009. 12

Pith tools

Reviewed July 12, 2026 · model on record in the stance chip above.