Martin Kaltenbrunner’s research while affiliated with Johannes Kepler University of Linz and other places

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Publications (141)


Pneumatic organic ink printer with multi‐extruder carriage. The printer is designed to pneumatically extrude viscous inks, which the multi‐extruder carriage can switch within a single printing process. In this way, biogel can be combined with organic support ink to print complex geometries as well as internal cavities that would not be possible without a suitable supporting material.
Rheological bio‐support ink properties. a) Determination of the dynamic viscosity of the three mixtures 1:7. 1:6, and 1:5. Error bars show the standard deviation of three measurements. b) Comparison of the extrusion rate of the three different mixtures through a 1 mm nozzle and c) a 0.84 mm nozzle. d) Rpm sweep of the dynamic viscosity for the three mixtures, highlighting its non‐Newtonian behavior. e) Determination of the static yield stress τ. By measuring the critical pressure at which extrusion can be observed for various nozzle lengths L and nozzle diameter d = 0.84 mm, the static yield stress was determined, using the Hershel‐Bulkley model, as τ = 34 ± 2 Pa. The dashed line is a linear fit and error bars represent the resolution of the pressure steps used for the determination (N = 1). The error of τ was derived from propagation of the measurement error of d and of the error of the linear fit.
Bio‐support ink printing and ammonium sulfate tests. a) XYZ test cubes. From left to right, printing parameters have been optimized for stable extrusion with the bio‐support ink. b) Different overhangs of bio‐support ink for printing performance assessment. c) Bridging capability of bio‐support ink. d) Printing of low‐density bio‐support structures to support the overhanging biogel features. The bio‐support is removed subsequently. e) Swelling behavior of biogel in AS solutions of different concentrations after soaking for 19 h. Error bars correspond to measurement errors. The photograph shows the soaked biogel samples. f) Swelling and subsequent drying behavior due to the salting‐out effect, in dependence on the soaking duration. g) Change of mechanical properties due to soaking. The biogel was soaked for 30 min in 30% AS solution and dried for 24 h before testing. Error bars show the standard deviation for N = 6 samples, each. h) Procedure of rinsing supports from internal channels. The channel is flushed with AS solution until all remainder are washed out.
Printing tunable scaffolds and cavities. a) 3D model and printed scaffold structure with a pore size of 400 µm. b) SEM images of a printed 400 µm pore size scaffold. c) Vascular networks are printed by using our organic inks. After rinsing, the channels can be filled with solutions of suitable osmotic pressure. d) Printed bending and strain sensor. Supports have been rinsed subsequently. LM was injected into the channels with a syringe. e) Resistance change over time while bending the sensor at different angles. f) Resistance change over strain when stretching the sensor uniaxially for 5 cycles.
Printed joint VAc. a) Printed joint VAc with hollow actuation chamber and opening angle α = 75 °. b) Inner VAc chamber geometry. The opening angle α determines the maximum bending angle of the VAc. c) By applying vacuum (blue arrow) the corresponding forces (red arrows) lead to a collapse of the chamber, thus d) bending the 75° VAc joint. e) FE simulation of the joint VAc geometry (Movie S5, Supporting Information). f) Comparison of bending angles from simulation and experiment versus their respective chamber angle α. Three different angles had been tested: 45, 60, and 75°. g) Maximum force exerted by the VAc joint at different actuation pressures. Error bars correspond to measurement errors.

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Organic Ink Multi‐Material 3D Printing of Sustainable Soft Systems
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  • Full-text available

November 2024

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62 Reads

Andreas Heiden

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Michael Schardax

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Michael Hüttenberger

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[...]

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Martin Kaltenbrunner

Drawing inspiration from nature, soft materials are at the core of a transformation toward adaptive and responsive engineered systems, capable of conquering demanding terrain and safe when interacting with biological life. Despite recent advances in 3D printing of soft materials, researchers are still far from being able to print complex soft systems where a multitude of different components need to work together symbiotically. Closing this gap necessitates a platform that unites diverse materials into one synergetic process. Here, a multi‐material printing system is presented, combining gelatin‐based hydrogels with a new biodegradable support material. This organic ink maintains up to 60° overhang and is printable over gaps to structurally support the main biogel body, while triggered dissolution enables its selective removal and the formation of internal cavities. Therefore, the creation of vascular networks, tunable scaffolds, and embedded sensors within a single printing process becomes feasible. Furthermore, a perforation‐resistant, joint‐like vacuum actuator (VAc) is designed and 3D printed, capable of bending to angles up to 60° at fast response times down to 0.23 s. Combining these approaches in an efficient, streamlined fabrication process with biodegradable materials will unlock new sustainability dimensions for complex and durable soft systems.

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Dynamic Tactile Synthetic Tissue: from Soft Robotics to Hybrid Surgical Simulators

August 2024

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61 Reads

Surgical simulators are valuable educational tools for physicians, enhancing their proficiency and improving patient safety. However, they typically still suffer from a lack of realism as they do not emulate dynamic tissue biomechanics haptically and fail to convincingly mimic real‐time physiological reactions. This study presents a dynamic tactile synthetic tissue, integrating both sensory and actuatory capabilities within a fully soft unit, as a core component for soft robotics and future hybrid surgical simulators utilizing dynamic physical phantoms. The adaptive surface of the tissue replica, actuated via hydraulics, is assessed by an embedded carbon black silicone sensor layer using electrical impedance tomography to determine internally or externally induced deformations. The integrated fluid chambers enable pressure and force measurements. The combination of these principles enables real‐time tissue feedback as well as closed loop operation, allowing optimal interaction with the environment. Based on the concepts of soft robotics, such artificial tissues find broad applicability, demonstrated via a soft gripper and surgical simulation applications including a dynamic, artificial brain phantom as well as a synthetic, beating heart. These advancements pave the way toward enhanced realism in surgical simulators including reliable performance evaluation and bear the potential to transform the future of surgical training methodologies.




Flexible quasi-2D perovskite solar cells with high specific power and improved stability for energy-autonomous drones

April 2024

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412 Reads

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17 Citations

Nature Energy

Perovskite solar cells are a promising technology for emerging photovoltaic applications that require mechanical compliance and high specific power. However, the devices suffer from poor operational stability. Here we develop lightweight, thin (<2.5 μm), flexible and transparent-conductive-oxide-free quasi-two-dimensional perovskite solar cells by incorporating alpha-methylbenzyl ammonium iodide into the photoactive perovskite layer. We fabricate the devices directly on an ultrathin polymer foil coated with an alumina barrier layer to ensure environmental and mechanical stability without compromising weight and flexibility. We demonstrate a champion specific power of 44 W g⁻¹ (average: 41 W g⁻¹), an open-circuit voltage of 1.15 V and a champion efficiency of 20.1% (average: 18.1%). To show scalability, we fabricate a photovoltaic module consisting of 24 interconnected 1 cm² solar cells and demonstrate energy-autonomous operation of a hybrid solar-powered quadcopter, while constituting only 1/400 of the drone’s weight. Our performance and stability demonstration of ultra-lightweight perovskite solar cells highlight their potential as portable and cost-effective sustainable energy harvesting devices.


(A) Chemical structure of DPP860. (B) Contact angle measurement and schematic structure of perovskite films without (top) with DPP860 coating (bottom). (C) FTIR spectra and characteristic XPS peaks for (D) Pb4f and (E) I3d of perovskite films with and without DPP860 passivation.
(A) schematics of passivated OIHPSCs with p‐i‐n configuration (B) Interfaces in p‐i‐n OIHPSCs (1) anode/HTL, (2) HTL/Perovskite, (3) Perovskite/ETL, and (4) ETL/Cathode.
Optoelectronic response of CH3NH3PbI3 perovskite with and without DPP860 passivation. (A) UV‐Vis transmittance of perovskite films. (B) Semi‐log plot of dark current density‐voltage characteristics, and (C and D) space‐charge‐limited current (SCLC) of hole only device without and with DPP860, respectively. (E) Steady‐state photoluminescence (PL), and (F) time‐resolved photoluminescence (TRPL) spectra of films with and without DPP860 treatment.
Photovoltaic properties of perovskite devices with and without DPP860 passivation. (A) J‐V curves of the devices treated with 0.0, 0.3, 0.7, and 1.0 mg mL⁻¹ DPP860. (B) J‐V curves of perovskite solar cells treated with 0.0 and 0.7 mg mL⁻¹ (the optimal concentration) DPP860. Statistical distribution of (C) short‐circuit current density (Jsc), and (D) power conversion efficiency (PCE) of perovskite devices treated with 0.0, 0.3, 0.7, and 1.0 mg mL⁻¹ DPP860. (E) Operational stability of encapsulated perovskite devices obtained from MPP tracking measurements under 1 sun (100 mW cm⁻²) illumination.
Intensity‐modulated photovoltage characteristics of MAPbI3 PSCs containing 0.0 and 0.7 (mg mL⁻¹) of DPP860. (A) Nyquist plots, (B) Imaginary transfer function (H″) versus frequency plots, (C) open‐circuit voltage (Voc) as a function of photon flux (cm⁻² s⁻¹) intensity, and (D) charge carrier recombination time constant (τrec) as a function of the Voc of OIHPSCs.
Interface passivation using diketopyrrolopyrrole‐oligothiophene copolymer to improve the performance of perovskite solar cells

April 2024

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94 Reads

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1 Citation

The unprecedented increase in power conversion efficiency (PCE) of low‐cost organo‐inorganic halide perovskite solar cells (OIHPSCs) toward its Shockley‐Queisser limit intriguingly has prompted researchers to investigate the disadvantages of these devices. The issue of operational stability is the main hurdle challenging the way forward for commercialization. To address this, various engineering processes like composition, additives, anti‐solvents, bulk and interface passivation, and deposition techniques have been widely applied to manage both extrinsic and intrinsic factors that induce degradation of the OIHPSCs. In this work, we employed interface passivation, which is an efficient approach to reduce nonradiative recombination. An ultrathin layer of electron donor diketopyrrolopyrrole‐oligothiophene copolymer (DPP860) was applied as an interface passivator between the photoactive layer and [6,6]‐phenyl C61 butyric acid methyl ester (PCBM). The role of the interface passivation on optoelectronic properties of the OIHPSCs was assessed using current density versus voltage (J‐V) characteristics, photoluminescence spectroscopy and time‐resolved photoluminescence spectroscopy. The findings show devices treated with DPP860 exhibit enhanced current density (Jsc) and fill factor, attributing for suppressed nonradiative recombination. Moreover, it shows relative improvement in the stability of the device. The results of this finding reveal that using oligothiophene copolymer can enhance the photovoltaic performance and the stability of inverted OIHPSCs in the ambient environment.


Intelligent wood surfaces. a) Capacitive sensor for humidity detection and touchpad applications. Resistance sensor for temperature measurement and integration of microelectronics. b) Copper sensor consisting of a capacitive and resistive sensor with a layer of varnish. c) Multimedia touchpad made of conductive, copper traces with microelectronics (SMD LEDs). d) Wooden piano fabricated by screen‐printed silver sensors with interdigitated electrodes.
Fabrication steps and microscopic analysis for conductive traces with different geometries on a wooden surface a) Sanding of the surface of the wooden substrate followed by two different methods. Method 1 kiln dries the wood at 103 °C before the sanded surface is coated by physical vapor deposition. The sanded surface of the wood substrate is now fully coated with metal. Individual structures and sensors are created by laser ablation. Method 2 applies viscous silver ink on the sanded surface of the wood substrate by screen printing. Geometry and sensors are created by a prefabricated screen through which the silver ink is applied via a squeegee. Annealing is the final step and results in conductive traces. b) Impedance sensor consisting of interdigitated electrodes and resistance sensor consisting of a meander structure on a beech substrate with copper traces and silver traces h). c) Optical microscope image of two 1.5 mm wide conductive traces made of copper and silver (i) on beech without surface sealing and with a layer of varnish d,j). e–g) Scanning electron microscope (SEM) image of a 1.5 mm wide conductive trace on the beech with magnifications 25×, 1500×, and 13 470×. The SEM images show the thickness of the evaporated copper layer.
The copper sensor on wood substrate used to analyze temperature dependency. a) Surface texture of beech veneer before and after sanding 0° to the fiber direction and 90° to the fiber direction b). The dashed lines in graphs (c–f) are linear fits of the measured data. c) Resistance of a copper trace on sanded beech as a function of length l for various widths w [0.25 mm (black); 0.50 mm (red); 0.75 mm (green); 1.00 mm (blue); 1.25 mm (turquoise); 1.50 mm (purple)] 0° to the fiber direction and for various widths w [1.00 mm (black); 1.25 mm (red); 1.50 mm (green); 1.75 mm (blue); 2.00 mm (turquoise); 2.25 mm (purple)] 90° to the fiber direction d). e) Conductance of a copper trace on sanded beech as a function of width w for various lengths l [5 mm (black); 10 mm (red); 15 mm (green); 20 mm (blue); 25 mm (turquoise); 30 mm (purple)] 0° to the fiber direction and 90° to the fiber direction f). Time‐dependent resistance measurement [black, thick line] of a copper sensor with meander structure and temperature measurement [blue, thin line] with a type K thermocouple. Measurements include one peak of 103 °C g), ten cycles with 103 °C maxima i), negative temperature of –20 °C k), and their respective temperature‐dependent resistance h, j, and l).
The silver sensor on wood substrate used to analyze temperature dependency. a) Surface texture of sanded beech veneer with a screen‐printed silver trace 0° to the fiber direction. The dashed lines in graphs b,c) are linear fits of the measured data. b) Resistance of a silver trace on sanded beech as a function of length l for various widths w [0.30 mm (black); 0.50 mm (red); 1.00 mm (green)] 0° to the fiber direction. c) Conductance of a silver trace on sanded beech as a function of width w for various lengths l [2 cm (black); 4 cm (red); 8 cm (green); 12 cm (blue); 16 cm (turquoise); 20 cm (purple); 24 cm (yellow)] 0 ° to the fiber direction. Time‐dependent resistance measurement [black, thick line] of a silver sensor with meander structure and temperature measurement [blue, thin line] with a thermocouple type K. Measurements include one peak of 103 °C d), 10 cycles with 103 °C maxima f), negative temperature of –20 °C h) and their respective temperature‐dependent resistance e, g, and i).
The copper sensor used to analyze the curing of varnish and the influence of humidity changes on the substrate. a) Hot press setup for applying varnish and performing in‐situ measurements. b) Ohmic conductance measured inside the hot press for various frequencies [10 000 Hz (black); 1000 Hz (red); 100 Hz (green)] and impedance at different times [0 min (yellow); 0.5 min (black); 5 min (red); 11 min (green); 14 min (blue); 17 min (turquoise); 20 min (purple)] d) at 150 °C c). e) Resistance increases over time without surface sealing and with varnish g) caused by swelling/shrinking of the wood due to changes in relative humidity at room temperature f, h). i) Photographs of wooden multimedia touchpad and measured signal amplitudes due to touches of varying force j).
Direct Fabrication of Electronic Circuits on Wooden Surfaces

March 2024

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111 Reads

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1 Citation

Equipping otherwise passive surfaces with electronic functionality enables advanced interactive robotics, consumer products, sensor skins, and structural health monitoring. Concurrently, the rapidly growing number of electronic devices fuels the search for sustainable materials and processes that aid in reducing electronic waste. Wood is CO2‐neutral, omnipresent in the construction industry, in furniture, musical instruments, or packaging, yet so far, its potential for direct integration with electronics remains largely unexplored. Complications arise as traditional methods of equipping wood with electronics often compromise structural integrity and thus limit applications requiring load‐bearing capabilities. Here, seamless fabrication methods that allow the direct enhancement of wooden surfaces with electrically conducting structures, sensors, and microelectronic components based on screen printing of conducting inks or physical vapor deposition of thin metal films in conjunction with laser engraving are presented. Such electronic circuits imperceptibly operate on the surface of structural elements or as parts of decorative wooden furniture. These types of electronic wooden surfaces enable touch‐sensing applications, monitoring temperature, or the curing of varnishes without compromising functionality and mechanical stability. This multidisciplinary approach opens up new avenues for the development of smart wooden structures with embedded electronics, revolutionizing the way it is monitored, controlled, and interacted with wood‐based constructions.



Citations (63)


... The III-V materials demonstrate higher PCE (26.8% under 1000 lux illumination), but their prohibitive production costs hinder their widespread adoption in IoT 6, 33 (Supplementary Table 2). Perovskite materials stand out due to their tunable bandgap, high absorption coe cient, and exible fabrication, making them ideal for various irradiance conditions 27,[34][35][36] . Compared to other PV technologies, perovskite solar cells (PSC) excel in low-light indoor environments, offering superior PCE 37 (Fig. 1b). ...

Reference:

All Irradiance-Applicable, Perovskite Solar Cells-Powered Flexible Self-Sustaining Sensor Nodes for Wireless Internet-of-Things
Flexible quasi-2D perovskite solar cells with high specific power and improved stability for energy-autonomous drones

Nature Energy

... This bilayer design consists of materials such as polyimide (PI) for the inner layer, which is well known for its high breakdown voltage due to relatively low permittivity and high humidity resistance, and polyurethane (PU) for the outer layer which can lead out superior electroadhesive force due to its high permittivity [30][31][32] . In an experimental environment, electroadhesive force is affected by various phenomena such as humidity, roughness of each layer, and leakage current [33][34][35] . Even though the protective layer has low electrical conductivity and acts as an insulating layer, a high applied voltage can cause current flow due to the polarization induced high electric field 33 . ...

Electrostatic actuators with constant force at low power loss using matched dielectrics

... To this end, several approaches have been discussed, including triboelectric nanogenerators, biofuel and solar cells, and hybrid energy harvesters 97 . A recent study involving perovskite solar cells powering sweat sensors demonstrated a runtime of more than 12 hours in ambient light 98 . Although this approach represents a significant innovation, the runtime of self-powered devices would have to reach at least 24 hours, and preferably a week or more, to allow for their expedient clinical application. ...

An autonomous wearable biosensor powered by a perovskite solar cell

... Hence, the use of soft carbon black silicone composite as a sensor material presents a cost-effective alternative to expensive electromagnetic [29,42] or optical [18,43] tracking systems, enabling instrument tracking inside phantoms. [30,44] Tactile sensing within such composite sensors is based on electrical impedance tomography (EIT), a technique also used in other tactile sensors [45,46] and manipulators. [47] By combining an embedded fluidic chamber system with an overlying tactile sensor layer, expansion or shrinkage of the soft tissue imitation as well as pressure measurements can additionally be achieved. ...

Open Source Sensor Interface for Soft Detectors in Surgical Simulators

IEEE Access

... When applied to oil/water separation, they cannot meet the requirements of green and renewable. Fortunately, cellulose nanofiber (CNF) 33,34 and sodium chloride (NaCl) 35,36 can be directly obtained from nature and are degradable. These characteristics make them ideal choices for maintaining the biodegradability and eco-friendliness of PLA, 37,38 giving PLA a broader prospect and potential in oil/water separation. ...

Biodegradable electrohydraulic actuators for sustainable soft robots

Science Advances

... The Shanghai Institute of Technical Physics of the Chinese Academy of Sciences proposed a measuring device and method for the pyroelectric coefficient of pyroelectric thin film materials [4]; Liu et al. reported a dynamic method for pyroelectric coefficient measurement applying back propagation neural network (BPNN) to the control of thermoelectric cooler (TEC) in 2020 [5]. Recently, Reinhard et al. proposed a noncontact method based on surface potential measurements, which related the surface potential variations to both the pyroelectric coefficient and the characteristic figure of merit (FOM) [6]. Currently, the standardized test of the pyroelectric coefficient mainly refers to the charge integration method mentioned in GB/T 3389-2008 [7]. ...

High-accuracy characterization of pyroelectric materials: A noncontact method based on surface potential measurements

... These sensors, endured within the joint, provide valuable data, such as detecting water absorption in wood, crucial for early damage detection and assessing the further life cycle of glued boards. 24 However, work on printed paper-based sensors for cure monitoring of resin is still at a preliminary stage. To the best of our knowledge, there are no reports wherein printed paper-based sensors have been utilized to monitor the PF-based prepregs. ...

High porous, ultra-thin paper sensors − An option for successful sensor integration
  • Citing Article
  • December 2022

Sensors and Actuators A Physical

... Physical, mechanical and chemical properties show great variations based on the combination of fungus species, substrate and process parameters (Jones et al., 2020). MBCs are used in construction (Jones et al., 2020), arts, architecture and interior design (Sydor et al., 2021), automotive applications (Cerimi et al., 2019), textiles (Cerimi et al., 2019;Gandia et al., 2021;Williams et al., 2022) and even electronics (Danninger et al., 2022). So far, almost 70 different species of fungus have been described for the use in MBCs (Sydor et al., 2022). ...

MycelioTronics: Fungal mycelium skin for sustainable electronics

Science Advances

... 25,26 Due to its simplicity, high repeatability, and low manufacturing costs, the additive method has been widely adopted. 27,28 In recent years, the additive method has been widely applied in the preparation of quasi-2D PSCs. For instance, in 2018, Lai et al. 29 achieved dense nanorod-shaped films by regulating the growth of ThMA 2 (MA) 2 Pb 3 I 10 using methylammonium chloride (MACl), resulting in a remarkable enhancement of the device's power conversion efficiency (PCE) from 1.74 to 15%. ...

Elucidating the Origins of High Preferential Crystal Orientation in Quasi‐2D Perovskite Solar Cells

... Therefore, the class of hybrid simulators extends virtual simulators by including haptic feedback [5], [6], which is achieved through a sophisticated linking of physical and virtual simulator components. This ensures comprehensive learning success, and sometimes even original surgical instruments can be used [7]. For the synchronization of physical patient phantoms and virtual software components, and to provide the possibility of qualitative and quantitative feedback on the success/failure of a trained surgery, sensors are required. ...

Smart Artificial Soft Tissue - Application to a Hybrid Simulator for Training of Laryngeal Pacemaker Implantation

IEEE transactions on bio-medical engineering