Compressive Measurements Research Articles

Fabrication and characterization of a pneumatic soft gripper integrated with a novel 3D-printed piezoresistive force sensor

Abstract A pneumatic soft gripper, composed of multiple elastomeric materials, was designed and manufactured based on gripping simulations. The simulation results demonstrated that the different stiffnesses of the elastomeric materials can influence the internal air pressure required for the proper actuation of the gripper. Considering the substrate properties and the morphological changes of the soft gripper during gripping, a piezoresistive force sensor was developed using elastomers and conductive filaments with the aid of additive manufacturing techniques. We confirmed the reproducibility and stability of the proposed piezoresistive force sensor through evaluations under various fabrication conditions. Results from touch experiments and compressive force measurements indicated that the stiffness of the sensor substrate and the thickness of the conductive part of the sensor affected the sensitivity and reliability of the sensor with respect to different levels of applied forces. Incorporating a rigid panel between the soft gripper and the piezoresistive force sensor diminished the effect of the variable stiffness and curvature of the gripper on the measurement of electrical resistance generated by the piezoresistive force sensor. Our 3D-printed sensor combined with elastomeric materials showed the possibility of differentiating the simple actuation and the gripping demonstration of the soft gripper.

Supramolecular Ni(II)-Selective Gel Assembly toward Construction of a Schottky Barrier Diode.

A mechanically stable and thermo-irreversible supramolecular Ni(II)-selective gel (MG) has been developed by utilizing the N,O-donor Schiff base (E)-1-((4-(diethylamino)phenylimino)-methyl)naphthalen-2-ol (HL) gelator and Et3N in binary THF:CH3OH (1:1) solutions at room temperature (rt). Metallogel MG has been characterized by spectral and analytical techniques, i.e., ESI-MS, FT-IR, NMR (1H & 13C), powder-XRD, FE-SEM, and rheological analysis. Further, noncovalent interactions responsible for the gelation mechanism have been illustrated with the aid of powder-XRD and FE-SEM analysis. The toughness, viscoelasticity, and flow behavior of MG were explored through rheological studies. Rheological and compressive measurements showed higher values of storage modulus and rigidity of MG; however, the flow property along with enrichment of toughness in MG can be an analytical metric for various engineering and industrial applications. Eventually, a Schottky barrier diode (SBD) was successfully constructed to mimic the functionality of MG-based metal-semiconductor (MS) junction devices for possible application in electrical engineering.

Reliability of Ultrasound Based Compressibility of the Lower Leg Anterior Tibial Muscle Compartment in Healthy Volunteers.

Some individuals have exercise-induced lower leg pain (ELP) caused by a chronic exertional compartment syndrome (CECS). As intracompartmental muscle pressure measurements are invasive with suboptimal test characteristics, other diagnostic tools are needed. Recently, ultrasound-based muscle compartment thickness analysis at 10mmHg (d10) and 80mmHg (d80) external pressure was introduced for this purpose. The difference in compartment thickness at these two external pressures induced by the study device is used to calculate muscle compressibility, a possible marker for CECS. The purpose of this study was to investigate the reliability of a novel ultrasound compressibility technique using two distinct internal landmarks at the lower leg in a diverse group of asymptomatic adults. Cross-sectional study. Healthy volunteers (n=35; 21 female; median age 40 years, range 19-72; BMI 24.1 kg/m2, range 18.3-31.6) not having ELP underwent serial compressibility measurements (n=1678) of both legs by three observers at the tibialis anterior (TA) using the interosseous membrane (IM) and transition zone IM to tibial bone (TZIT) as internal landmarks. Inter- and intra-observer reliability was calculated for values of d10, d80 and compressibility using intraclass correlations (ICC). TA compartments are less compressible using the IM landmark compared to the TZIT landmark (10.5% vs 12.5%; p<0.001). Inter-observer ICC for IM was always higher (d10 0.85; d80 0.82; compressibility 0.51) than for TZIT (d10 0.65; d80 0.53; compressibility 0.20). The intra-observer reliability for d10 and d80 was excellent (ICC>0.90) for all three observers. ICC of compressibility varied among observers and ranged from 0.76 to 0.48, with higher ICCs demonstrated for IM compared to TZIT. Ultrasound based anterior tibial muscle compressibility measurements have moderate inter-observer reliability and excellent intra-observer reliability if the interosseous membrane is used as internal landmark. Future studies are aimed to test muscle compressibility after exercise and in CECS. Level 3.

Experimental compressed liquid density measurements and correlation of the binary mixture {3,3,3-trifuoropropene (R1243zf) + isobutane (R600a)}

Experimental compressed liquid density measurements and correlation of the binary mixture {3,3,3-trifuoropropene (R1243zf) + isobutane (R600a)}

Utilization of Industrial Waste Casting Sands as Sustainable Building Material in Autoclaved Aerated Concrete Products

Autoclaved aerated concrete (AAC) is a building material with low density compared to traditional and structurally lightweight concrete. In addition to being very light, it is frequently preferred in many different areas, especially in external walls, floor slabs, lintels, roof slabs and panel elements of buildings, since it offers good heat and sound insulation. When the AAC production process is evaluated in terms of energy requirement, it has high environmental sensitivity compared to traditional concrete and brick processes. Since environmental sensitivity has become more important today, it was desired to evaluate the waste casting sands (WCS) generated in metal casting companies within the scope of the study. In this study, the usability of WCS as an alternative instead of silica sand used in AAC production was investigated. For this purpose, WCS was provided by 3 different casting companies. The usability potential of WCSs at 30% was examined and the quality of AAC was compared with reference castings. The fineness potentials of WCSs were compared by grinding in a disc mill. First of all, X-ray fluorescence spectrometry (XRF) and grain size analyses were performed on WCSs. 150x150x150 mm3 sized AAC laboratory samples were produced. The produced AAC samples were kept in the oven at 60°C until they set and then cured in an autoclave for approximately 10 hours. After the curing process in the autoclave, analyses such as compressive strength analyses and dry unit weight measurements were performed on the samples, and in addition to these analyses, they were subjected to visual examinations. Mechanical analyses were performed by replacing the WCS, from which positive results were obtained, at 5 different substitution ratios of 5, 10, 15, 20, and 30% by weight. From scanning electron microscope (SEM) and X-ray diffraction (XRD) analyses, it was determined that tobermorite structures were formed. From thermal analyses, it was observed that the thermal stability of the samples produced with WCS was better. When the results were evaluated in general, it was found that up to 30% WCS could be included in the AAC production system. In addition, an increase in compressive strength values occurred. The improvement in compressive strength also showed that WCS could be a good alternative source to silica sand.

Evaluation of Recycled Steel Fiber Effect on Concrete Performance Using Artificial Intelligence Technique

Reusing waste materials is critical for sustainability and preventing adverse impacts on human life and the environment. Waste vehicle tires have become a big problem due to high consumption. It is possible to separate waste tires into different materials through technological means. Recycled steel fiber is a material obtained from these tires, and various studies have been conducted on its use in concrete. In addition to the geometric properties, such as the length and diameter, the percentage of steel fiber also affects the strength of concrete. In this study, the effect of recycled steel fiber on concrete's compressive and flexural strength values was estimated using artificial intelligence functions with high statistical significance. The relationship between the strength results and the recycled steel fiber properties was determined using literature data. The model's accuracy was demonstrated by comparing the obtained compressive and flexural strengths with the laboratory results. Thanks to the model with a high correlation coefficient created as a result of the study, the effect of recycled steel fiber on concrete performance as an alternative to laborious laboratory tests can be predicted with artificial intelligence-supported functions. With the proposed neural network method, R2 values of 0.83 for compressive strength measurements and 0.96 for flexural strength measurements were obtained. Based on the findings, it is concluded that the recycled steel fiber-reinforced concrete parameters can be well represented by artificial neural networks, and the presented model can be used as a good alternative to laboratory studies for further research.

Correction to: Householder Transform based Estimation of Signal and Sparsifying Basis from Blind Compressive Measurements

Correction to: Householder Transform based Estimation of Signal and Sparsifying Basis from Blind Compressive Measurements

Effect of NaOH Solution on Mechanical Properties and Morphology of Fly Ash Based Cold-Pressed Geopolymer

Cold-pressing method is beneficial in reducing the porosity of geopolymer matrix, but the low liquid volume will result in unreacted aluminosilicate materials. This problem can be resolved by increasing sodium hydroxide (NaOH) concentration. This paper thus investigates the effect of NaOH concentration on the properties of cold-pressed geopolymer. The fly ash was activated by sodium silicate (Na2SiO3) and 10, 12, 14 and 16 M of NaOH solution. The dry mix was compacted with a uniaxial hydraulic press and cured for 7 and 28 days. The specimens were measured by porosity and compressive strength measurements. Scanning electron microscopy (SEM) analysis was performed to determine the microstructure of specimens. The geopolymer was optimized at 14 M NaOH with the highest 28-day compressive strength (109.6 MPa) and lowest porosity (8.1%). The SEM micrographs proved that the geopolymer have a dense and compact microstructure.

Comparison of durability, degradation mechanism and microstructure kinetics of metakaolin-based geopolymers exposed to ambient and washing environments

The alkali ions playing the charge-balanced role in the geopolymer backbone may cause durability concerns when the geopolymer is exposed to a washing environment. This work investigated the durability, degradation mechanism, and microstructure kinetics of metakaolin-based geopolymers (MKGs) exposed to a washing environment, in which the MKGs aged in an ambient environment were a control group. Except for compressive strength measurement, the variations in mineralogy, composition, microstructure, and pore structure were characterized by X-ray diffraction (XRD), X-ray Fluorescence Spectrometer (XRF), nuclear magnetic resonance (NMR), and Mercury Intrusion Porosimeter (MIP). In the ambient environment, the efflorescence caused the compressive strength decrease due to the alkali migration from MKGs, resulting in the microstructure degradation where the tetrahedral Al(III) requires the charged-balanced cations. Although the crystallization refined the pore structure of MKGs, the N-A-S-H gel degradation dominated the compressive strength decrease. In the washing environment, MKGs underwent continuous composition leaching. In the early stage, the loss of the unreactive silicate oligomers from the alkaline activator didn't cause N-A-S-H gel degradation. In the later stage, more Na+ loss and substantial Al-rich gel degradation collapsed the pore structure and caused small visible cracks on the MKGs' surface, which deteriorated the compressive strength of the MKGs.

Experimental Evaluation of Low-Carbon Cement and Its Application to the Oil and Gas Industry

Summary This study initiates a series of tests to examine the application of Type IL cement for well-cementing operations. Type IL cement is a blend of 5–15% limestone with Type I/II Portland cement. This substitution by reducing the amount of CO2 emitted from cement plants can be aligned with sustainability efforts in the cement industry. We first measured the properties of cement slurry made of Type IL cement and compared them with specifications for the well cementing. The properties of hardened cement including the compressive strength and bonding strength were also examined. For compressive strength measurement, both cubic and cylindrical samples were prepared. To measure the bonding strength, the modified pushout test was used. We also investigated the effect of severe environments on the strength reduction of the hardened cement. In addition, the scaled abandonment plugging setup was used to quantify the sealing capabilities of Type IL cement in a well-plugging scenario. To force nitrogen flow through, differential pressure was applied to the system by decreasing the pressure above the plug-in controlled timesteps. We found that Type IL hardened cement offers substantial sealing capabilities compared with data available in the literature, although the leakage rate seems to gradually increase with each increase in differential pressure.

Mechanical strength, hydration products, and microstructure of waste-derived composite-activated cementitious materials by varying titanium gypsum phase composition

The high carbon footprint of commercial chemical activators has hindered the industrial application of alkali-activated cementitious materials as a substitute for Portland cement, leading to substantial pollution and carbon emissions. This study aims to investigate the effect of the Titanium Gypsum (TiG) phase composition on the mechanical strength, hydration products, and microstructure of Red Mud (RM)-Granulated Blast Furnace Slag (GBFS)-based waste-derived composite-activated cementitious Materials (GRGM). The properties were characterized through flexural and compressive strength measurements, XRD, FTIR, TG-DTG, MIP, and SEM-EDS. The results revealed that GRGM mortars, prepared by combining dihydrate gypsum and hemihydrate gypsum in specific proportions as a waste-derived sulphate activator, exhibited flexural and compressive strengths of 8.9 MPa and 56.5 MPa at 28 d, respectively. It was observed that the presence of hemihydrate gypsum played a crucial role in promoting the transformation of C(N)-A-S-H gel to C-S-H gel, enhancing the growth of ettringite and influencing its degree of polymerization. A hemihydrate gypsum content of at least 15 % significantly accelerated this transformation process, resulting in a broader range of hydration products. This diversification ultimately led to the densification of the pore structure in GRGM paste, thereby improving the mechanical strength of the specimens. Additionally, a hemihydrate gypsum content of less than 15 % resulted in a significant reduction in mechanical strength. Furthermore, the production energy consumption of GRGM was calculated to be 89.388 MJ/t, much lower than the energy consumption and carbon emissions typically associated with cement manufacturing. This paper elucidates the mechanisms by which various single-phase and double-phase waste-derived sulphate activators influence several critical physicochemical properties of waste-derived composite-activated cementitious materials. The study further explores the potential of TiG as a waste-derived activator for the design of waste-derived composite-activated cementitious materials, thereby strengthening the theoretical framework supporting their applications.

Measurement of spherical tokamak plasma compression in the PCS-16 magnetized target fusion experiment

Abstract A sequence of magnetized target fusion devices built by General Fusion has compressed magnetically confined deuterium plasmas inside imploding aluminum liners. Here we describe the best-performing compression experiment, PCS-16, which was the fifth of the most recent experiments that compressed a spherical tokamak plasma configuration. In PCS-16, the plasma remained axisymmetric with δ B pol / B pol &lt; 20 % to a high radial compression factor ( C R &gt; 8 ) with significant poloidal flux conservation (77% up to C R = 1.7, and ≈ 30 % up to C R = 8.65 ) and a total compression time of 167 μ s . Magnetic energy of the plasma increased from 0.96 kJ poloidal and 17 kJ toroidal to a peak of 1.14 kJ poloidal and 29.9 kJ toroidal during the compression, while the thermal energy was in the range of 350 ± 25 J. Plasma equilibrium was a low-β state with β tor ≈ 4 % and β pol ≈ 15 % . Ingress of impurities from the lithium-coated aluminum wall was not the dominant effect. Neutron yield from D-D fusion increased significantly during compression. Thermodynamics during the early phase of compression ( C R &lt; 1.7 ) were consistent with increasing Ohmic heating of the electrons due to a geometric increase in the current density at near-constant resistivity, and with increasing ion cooling that approximately matched ion compression heating power. Ion cooling by electrons was significant because the electrons were much cooler than the ions ( T e = 200 eV , T i = 600 eV ). Magnetohydrodynamic simulations were used to model the emergence of instabilities that increase electron thermal transport in the final phase of compression. Conditions for ideal stability were actively maintained during compression through a current ramp applied to the central shaft and, after this current ramp reached its peak two-thirds of the way through compression, we measured a transition in plasma behavior across multiple diagnostics.

A New Compressed Data Acquisition Method for Power System Based on Chaotic Compressive Measurement.

The digitalization level of the new power system driven by "dual carbon" is increasing, leading to a growth in the amount of data that need to be acquired. This has intensified the contradiction between data volume and acquisition capacity. Therefore, it is urgent to study compressed data acquisition methods for power systems based on data compression. In this regard, a novel compressed data acquisition method based on chaotic compressive measurement with the compressed sensing principle is proposed. Firstly, the advantages of applying compressed sensing are analyzed for data acquisition in power systems, and the key issues that need to be addressed are identified. Subsequently, a chaotic map is sampled based on the basic requirements of the measurement matrix in compressed sensing, and the chaotic compressive measurement matrix is constructed and optimized based on the sampling results. Next, the sparse data difference of the power system is used as the compression target for the optimized chaotic measurement matrix, and an acquisition process is designed to recover the complete power data from a small amount of compressed data. Finally, the proposed method is validated in a case study, and the results demonstrate that the method is correct and effective.

Development of Textile-Based Strain Sensors for Compression Measurements in Sportswear (Sports Bra).

Women sports wearer's comfort and health are greatly impacted by the breast movements and resultant sports bra compression to prevent excessive movement. However, as sports bras are only made in universal sizes, they do not offer the right kind of support that is required for a certain activity. To prevent this issue, textile-based strain sensors may be utilized to track compression throughout various activities to create activity-specific designed sports bras. Textile-based strain sensors are prepared in this study using various conductive yarns, including steel, Ag-coated polyamide, and polypropylene/steel-blended threads. Various embroidery designs, including straight, zigzag, and square-wave embroidery patterns, etc., were created on knitted fabric and characterized for strain sensing efficiencies. The experiments concluded that strain sensors prepared from polypropylene/steel thread using a 2-thread square-wave design were best performed in terms of linear conductivity, sensitivity of mechanical impact, and wide working range. This best-performed sample was also tested by integrating it into the sportswear for proposed compression measurements in different body movements.

Mask-Guided Spatial-Spectral MLP Network for High-Resolution Hyperspectral Image Reconstruction.

Hyperspectral image (HSI) reconstruction is a critical and indispensable step in spectral compressive imaging (CASSI) systems and directly affects our ability to capture high-quality images in dynamic environments. Recent research has increasingly focused on deep unfolding frameworks for HSI reconstruction, showing notable progress. However, these approaches have to break the optimization task into two sub-problems, solving them iteratively over multiple stages, which leads to large models and high computational overheads. This study presents a simple yet effective method that passes the degradation information (sensing mask) through a deep learning network to disentangle the degradation and the latent target's representations. Specifically, we design a lightweight MLP block to capture non-local similarities and long-range dependencies across both spatial and spectral domains, and investigate an attention-based mask modelling module to achieve the spatial-spectral-adaptive degradation representationthat is fed to the MLP-based network. To enhance the information flow between MLP blocks, we introduce a multi-level fusion module and apply reconstruction heads to different MLP features for deeper supervision. Additionally, we combine the projection loss from compressive measurements with reconstruction loss to create a dual-domain loss, ensuring consistent optical detection during HS reconstruction. Experiments on benchmark HS datasets show that our method outperforms state-of-the-art approaches in terms of both reconstruction accuracy and efficiency, reducing computational and memory costs.

Investigation of mechanical characteristics and sustainable practices in concrete incorporating recycled marble waste

Due to the rapid expansion of infrastructure, urbanization, and industry, there is a constant need for concrete worldwide. However, the expansion of the concrete sector increases pressure on natural resources, endangering the balance of the ecosystem. Thus, it would be advantageous to meet current concrete needs without reducing production quality by incorporating recycled materials into concrete mixes. In this work, we investigate the mechanical characteristics of environmentally friendly concrete using recycled marble powder (WMP) partially replacing cement and marble coarse aggregates (MCA) as an alternative to natural coarse aggregates. The qualities of the concrete were evaluated using a combination of destructive and non-destructive testing techniques. In this study, three series of mixes were prepared. The first series (S1) is composed of 100% natural coarse aggregates. In the second series (S2), 50% of the natural coarse aggregates are substituted for marble coarse aggregates, while the third series (S3) is composed of 100% marble coarse aggregates. In each of the three series, Marble powder was used in place of cement at a percentage ranging from 5% to 20%, increasing by 2.5%. Concrete mixes were developed and evaluated with different levels of marble waste substitution to compare their compressive strengths and workability to those of traditional concrete made from 100% natural aggregates. Simultaneously, the strength characteristics were measured using the Schmidt hammer and ultrasonic velocity tests. As was mentioned, in the three series, when Cement is replaced with marble powder, the slump decreases, even though the incorporation of marble coarse aggregates tends to increase this workability, while the compressive strength shows an increase of 28.66% and 31.63% compared to the control mix for 50% and 100% substitute of natural coarse aggregates with marble coarse aggregates, respectively. It is also noteworthy that concrete containing marble waste exhibits normal ultrasonic velocity. For concrete mixtures of series (S1), (S2), and (S3), respectively, the velocity of ultrasonic pulses increased by 18.20%, 27.44%, and 27.98%, while the Schmidt Rebound Number increased by 10.13%, 14.52%, and 21.37%, respectively, in contrast to the values of the control mixture. Additionally, the reliability of results from the universal testing machine (UTM) was validated through correlation analysis of compressive strength measurements obtained by various methods. The study's findings are intriguing and underscore the potential of employing marble waste as an alternative to natural aggregates.

Direct and indirect assessment of the elastocaloric properties of cast NiMnTi alloys

The study of the elastocaloric effect of NiMnTi alloys is a key topic for developing materials for sustainable and efficient solid-state cooling and heating applications. In the current work, the mechanical behavior of two arc melted and heat treated NiMnTi alloys with 15 and 18 at% of Ti has been investigated. The effects of heat treatments and operating conditions on the mechanical and caloric properties of the alloys have been assessed through calorimetric analysis, isothermal stress-strain compressive measurements, and adiabatic tests. To evaluate the caloric performance of the NiMnTi alloys, both experimental and theoretical adiabatic temperature changes have been identified, and the isothermal entropy change involved in the stress-induced martensitic transformation has been computed from the discrete integration of the stress-strain curves. The NiMnTi alloys treated at 900 °C exhibited better caloric performance than those treated at 1000°C. Specifically, the sample that achieved the highest experimental positive and negative ΔT values (10.2 °C and −12.6 °C, respectively) was the NiMnTi alloy with 15 at% of Ti and heat treated at 900 °C. This study provides a detailed analysis of the physical properties, functionality, and caloric properties of polycrystalline NiMnTi fabricated through a melting process, considering its potential use in solid-state cooling and heat pumping technologies.

Solvation phenomena in ternary system tetramethylurea-methylacetamide-water: Insights from volumetric, compressibility and FTIR analysis

The properties of the ternary systems N,N,N',N'-tetramethylurea - N-methylacetamide - water were investigated using Fourier-transform infrared spectroscopy (FTIR), volumetric and compression measurements. Densities and sound velocities were determined in order to obtain the apparent molar volumes (VΦ) and apparent molar isentropic compressions (▪S,Φ). These values were then extrapolated to infinite dilution. Additionally, interaction parameters were calculated from the McMillan-Mayer theory. The studies were conducted at 288.15, 298.15, and 308.15 K, at atmospheric pressure (0.1 MPa). The concentration ranges of N-methylacetamide were 2, 4, 6, and 8 moles per kilogram of pure water, and for N,N,N',N'-tetramethylurea from 0 to around 0.35 moles per kilogram of solvent. Discrete changes in isentropic compression were observed. This is the result of the alignment of plots of ▪S,Φ0 as a function of NMA concentration. The results for N,N,N',N'-tetramethylurea were compared with analogous data for the system containing n-butylurea, which is an isomeric compound but exhibits different hydration behaviour. Additionally, large volumetric interaction coefficients were observed, indicating strong interactions between urea derivatives and NMA. This suggests the possibility of strong interactions between protein destabilizers and the protein backbone, differing from those observed for protein structure stabilizers. The observation contributes to understanding the mechanism of osmolyte action and their influence on protein stability.

Lightweight distributed deep learning on compressive measurements for internet of things

In this work, we investigate the problem of distributed deep learning in Internet of Things (IoT). The proposed learning framework is constructed in a fog–cloud computing architecture, so as to overcome the limitation of resource constrained IoT end device. Compressive Sensing (CS) is used as a lightweight encryption in the framework to preserve the privacy of training data. Specifically, a chaotic-based CS measurement matrix construction mechanism is applied in the system to save the storage and transmission costs. With this design, the computation overhead of the learning framework in IoT can be successfully offloaded from IoT end device to the fog nodes. Theoretical analysis demonstrates that our system can guarantee security of the raw data against chosen plaintext attack (CPA). Experimental and analysis results show that our privacy-preserving proposal can significantly reduce the communication costs and computation costs with only a negligible accuracy penalty (with classification accuracy 91% testing on MNIST dataset under compression rate 0.5) compared to traditional non-private federated learning schemes. Notably, due to the chaotic-based CS measurement matrix construction mechanism, the memory requirement of end device side can be significantly reduced. This makes our framework be very suitable for the IoT applications in which end devices are equipped with low-spec chips.

Synthesis of Gold Nanoparticles by Pulsed Laser Ablation and its Study Physical and Mechanical Properties

In this work, the pulsed laser ablation technique was used, which is considered a good and distinctive method. Gold nanoparticles (AuNP) were prepared using an Nd-YAG laser with specific parameters, wavelength 1064 nm, constant ablation energy 1000 mJ, frequency 1 Hz, and different number of pulses (300, 600, and 900 pulse/sec). Deionized water was used as the medium liquid. The purpose of this study was to examine the change in these parameters on AuNP using a variety of Xrd, FESEM, Uv-Vis, force-hardness, and compression measurements. The pure cubic crystal structure of gold nanoparticles was analyzed using XRD. Subsequent FESEM images (average diameters 78.07nm, 49.15nm, 37.67nm) indicate that the particles had highly spherical and quasi-spherical shapes. Using ultraviolet analysis, the absorption band of gold nanoparticles was found and the wavelength was (518, 519, 524) nanometers, respectively. There were three different power gaps (1.895, 2.005, and 2.084) eV. In addition, mechanical property tests were conducted, where 2 ml of gold nanoparticles were mixed with (3 grams) of traditional dental filling. The hardness value increased by (3%). The results also showed an increase in the stress and strain value and an increase in Young’s modulus. Hence, an increase in the compressive strength. This indicates that AuNP affects the mechanical properties and enhances their effectiveness.