Sliding Distance Research Articles

Impact of different parameters in tribological properties of enset ventricosum/ terminalia arjuna fibers /SiO2 filler incorporation

Natural fiber composites have garnered considerable interest in recent years as sustainable substitutes for synthetic materials, owing to their environmental advantages, including renewability, biodegradability, and cost-effectiveness. Notwithstanding these benefits, there is a vital need to improve the mechanical and tribological characteristics of these composites for applications involving significant wear. This work used compression molding to make hybrid composites with natural fibers (NFs) and nano silicon dioxide (nSiO2) filler. The matrix material was epoxy, and the natural reinforcements were Enset ventricosum (EV) and Terminalia arjuna (TA) fibers. Tensile (TS), flexural (FS), and impact (IS) characteristics improved using 1:1 SiO2 filler and EV/TA fiber reinforcement. The combination of 6 wt% SiO2 and 45 wt% EV/TA improved mechanical performance. A high SiO2 filler (6 wt%) in polymer-based composites decreased Specific Wear Rate (SWR), according to Taguchi optimization. A better fiber-matrix interaction improves the mechanical characteristics of materials with fillers. This study optimized several responses using the new combined compromise solution (CoCoSo) method. Multi-criteria decision making is used here. This study introduces Method based on the Removal Effects of Criteria (MEREC) to determine objective criteria weights. Conclusions from experiments show ideal results. CoCoSo's optimization study showed that Enset ventricosum and Terminalia arjuna fiber (EV/TA) hybridization affected composites' tribological behavior.This hybrid fiber combination carried the most influence, followed by fillers. The optimal results were obtained with 6 wt% SiO2/25 wt% EV/TA Hybrid fiber, 1000 m Sliding distance (SD), 2 m/s Sliding speed (SS), and 10 N axial load (AL).

Synergistic approach to wear rate forecasting in AZ31/5% Yttria stabilized zirconia reinforced composite through response surface methodology-genetic algorithm integration

In this work, the wear behavior of a novel AZ31 magnesium alloy reinforced with 5% yttria-stabilized zirconia (YSZ) composite was evaluated using a hybrid Response Surface Methodology (RSM) and Genetic Algorithm (GA) approach. The composite was fabricated using ultrasonic-assisted stir squeeze casting technique, ensuring homogeneous distribution of spherical YSZ particles, as validated by the scanning electron microscope integrated with energy dispersive spectroscope. Wear tests were carried out according to the ASTM standards using a pin-on-disc (POD) tribometer, with applied load (AL), sliding speed (SS), and sliding distance (SD) as the main parameters. An empirical wear rate regression model was developed using RSM/Box-behnken design, and Genetic Algorithm was deployed for parametric optimization, achieving a minimal wear rate of 0.0144 g/m under a load of 30 N, sliding speed of 260 rpm, and sliding distance of 400 m. Confirmation tests were performed to validate the GA predictions. The wear mechanisms were observed, showing reduced wear in GA-optimized samples due to optimized load distribution resulting minimized ploughing, grooving and delamination. This work highlights the efficacy of the hybridized RSM / GA for the wear performance in advanced magnesium alloy matrix composites.

Tribological Properties of AISI 52100 Bearing Steel under Different Sliding Distance and Normal Force Conditions

Tribological Properties of AISI 52100 Bearing Steel under Different Sliding Distance and Normal Force Conditions

Lubricated Wear Properties of Zn-30Al-3Cu-Si Alloys

To assess the effect of silicon content (SC) and test parameters on the lubricated wear of Zn-30 wt.% Al-3 wt.% Cu-(0.5–5) wt.% Si alloys, six quaternary alloys were produced by casting. Their wear properties were investigated at different ranges of contact pressure (CP) of 1–8 MPa and sliding velocity (SV) of 1–3 ms−1 for two different sliding distances (SD) of 20 km and 108 km. It was observed that Si addition (SA) improved the tribological properties of Zn-30Al-3Cu alloy, but an increase in the SC above a certain percentage (0.5%) adversely affected these properties. Therefore, Zn-30Al-3Cu-0.5Si alloy demonstrated the lowest friction coefficient (FC) and wear volume (WV) among the alloys tested. The correlations between the lubricated wear properties (FC and WV) of the alloys and test conditions (CP and SV) were made by non-linear regression analysis using the wear test data. Finally, the equations for the relationship between the wear properties of the alloys and the test parameters were determined.

Influence of natural fiber addition and fiber length in determining the wear resistance of epoxy‐based composites

AbstractWear testing, in this research was conducted for compression molded flax and ramie fibers with epoxy resin matrix. The 40 wt% fiber combination was used for a fiber length (FL) of 0.5–1.5 cm while varying sliding distance (SD) ranged from 500 to 1500 m. Better results were obtained in 1000 m SD and 1 cm FL with a specific wear rate (SWR) of 13.12 × 10−5 mm3/Nm. Samples with 50 wt% natural fiber combinations were tried with different FL (0.5–1.5 cm) and sliding speed (SS) from 0.5 to 1.5 m/s. Sliding speed increased the contact between the sample and the counter steel disc, which caused high wear rate in the specimen. A high SWR was observed for the combination of SS 1.5 m/s, 0.5 cm FL due to high contact and with lower adhesion of fiber/matrix phase than in the others. Higher FL damages the compatibility of matrix/reinforcement phases, which makes the epoxy sample highly brittle with less wear resistance. The combination of 30 wt% natural fiber with FL (0.5–1.5 cm) and load 5–15 N showed high wear rate at a higher load of 15 N (31.57 × 10−5 mm3/Nm). SEM results with 50 wt% NF combination, 0.5 cm FL at 5 N load showed high deformation in the natural fiber structure compared to the 40 wt% NF combination, mainly due to the adhesion of fiber with epoxy resin which acted as a stress transfer area allowing transfer of more loads.

Experimental tribological and mechanical behavior of aluminium alloy 6061 composites incorporated ceramic particulates using Taguchi analysis

Aluminium metal-matrix composites are broadly employed in industries like aerospace, marine, automobile-sector, and many others, generating a broad research interest. They are preferred for their high strength and low wear rate. This research work is mainly directed towards the fabrication of two types of metal-matrix composite materials using aluminium-alloy 6061(AA6061) as the matrix material and incorporating aluminium oxide (Al2O3), aluminium nitride (AlN), and silicon carbide (SiC) as a reinforcement material. AA6061 has been reinforced with Al2O3 and SiC particulates in AS series composites, while AA series composites, AA6061 has been reinforced with Al2O3 and AlN particulates. This hybrid metal composite was constructed using the stir-casting method. These hybrid composites have been investigated for their physical and mechanical characteristics, viz. density, hardness, impact strength, void content, flexural strength, and tensile strength following the ASTM standards. Tribological characteristics of these hybrid composites were performed by Pin-on-disc (POD) tribometer. Taguchi’s design of experimental technique was applied taking four factors viz. composition, sliding-velocity (SV), sliding-distance (SD), and load, and each having 4 levels. ANOVA was employed to find out meaningful parameters. SEM analysis of worn-surface was executed to find out the dominant wear mechanism. Experimental density was highest for AS42, and AA42 composites and void content were lowest for the same. Mechanical properties viz. density, hardness, impact strength, void content, flexural strength, and tensile strength were higher than the base alloy. From the response table of Taguchi analysis of AS and AA composite, the load factor significantly impacted the specific wear rate (SWR) to follow filler content (FC). It can be followed from the ANOVA table for AS composite that the load factor had a magnificent impact on the SWR. The SV and SD show no significant effect on SWR.

Sliding Wear Behavior of Pineapple Leaf/Glass Fiber Reinforced Polyester Composites

AbstractIn this work, the effect of the kind of reinforcement on the sliding wear performance of a polyester matrix composite reinforced with glass fiber and pineapple leaf fiber is investigated. The purpose of this study is to ascertain the effects of the type of reinforcement on the sliding wear performance of a polyester matrix composite reinforced with glass fiber and pineapple leaf fiber. By using hot press molding and the 30% weight fraction of fiber reinforcement, polyester composites with four distinct compositions—PPP, GGG, PGP, and GPG—have been created. These composites' dry sliding wear experiment is carried out using a Pin on Disc wear testing device. The following parameters are used in experiments: a track radius of 50 mm, a sliding distance (SD) of 500 m, an applied load of 50, 70, or 90 N, and a sliding velocity of 3.14, 4.71, or 6.28 m s−1. For dedicated (PPP, GGG) and hybrid (PGP, GPG) polyester composites, the effects of load, sliding velocity (SV), and wear rate (WR) are studied. At 50 N and 3.14 m s−1 the COF for PPP and GGG dedicated composites is 0.68 and 0.70, respectively, whereas for PGP and GPG hybrid composites, it is 0.41 and 0.64. The PGP/GPG hybrid composites have a minimal wear rate of 3.34e‐8 m3 s−1 and are 80% more effective than dedicated composites. Utilizing the Analysis of Variance (ANOVA) and Taguchi L9 orthogonal array, regression models are created to optimize the influence of various parameters, such as load, sliding velocity, and composition. Results of confirmation tests show excellent agreement with predictions generated using the developed mathematical model.

Effect of Caesalpinia decapetala on the Dry Sliding Wear Behavior of Epoxy Composites

The present research investigates the wear characteristics of an epoxy composite reinforced with a novel Caesalpinia decapetala (CD) shell. The CD is available abundantly worldwide, especially in Ethiopia, particularly in East and West Oromia near West Harar. The composite specimens were processed in the open mould casting technique by varying the vol.% of CD in 10, 20, and 30. EDS is used to evaluate the important elements present in the CD. The density of composites increases with the increase in the content of CD, while the void content estimations reveal good control over the composite fabrication. The wear response of composites is investigated by varying the sliding distance and load and by maintaining a fixed velocity (5 m/s). At a 5 km slide distance and 50 N load, the 30 vol.% Caesalpinia decapetala composition depicts better wear resistance and friction coefficient than other compositions. Experimental results are used to envisage the ideal wear factors and to assess the influence of parameters over the two wear objectives, wear rate and CoF. The grey relational analysis- (GRA-) coupled artificial neural network (ANN) hybrid technique was employed for the prediction and validation. It has been observed that a trivial error of 0.49% amidst GRA and ANN estimation is observed.

The correlation between clinical symptom and morphological parameters on magnetic resonance imaging in patients with spondylolisthesis levels L4/L5 and L5/S1.

Spondylolisthesis is one of the common causes of spinal pain. There is currently a lack of studies on the correlation between magnetic resonance imaging (MRI) and clinical symptoms of patients with spondylolisthesis. This study is aimed to find the correlation between clinical symptoms of L4/L5, L5/S1 lumbar spondylolisthesis, and imaging parameters on MRI. A retrospective study on 100 patients who were diagnosed with lumbar spondylolisthesis at the L4/L5, L5/S1 levels from August 2022 to February 2023. Parameters on MRI are measured the cross-sectional area of the dural sac (DSA), the cross-sectional area of the spinal canal (SCA), the ligamentum flavum cross-sectional area (LFA), and ligamentum flavum thickness (LFT), anterior-posterior diameter (APD), sliding distance (SD) at the spondylolisthesis level. Clinical symptoms were investigated according to the Visual Analogue Scale (VAS) for grading of pain and the subjective disability was assessed by the Oswestry Disability Index (ODI). There was no statistically significant difference between SD, APD, SCA, DSA, LFA, and LFT between the mild and moderate pain VAS and severe pain VAS groups. No correlation was found between VAS and SD, APD, SCA, DSA, LFA, and LFT. There is a negative correlation between ODI and APD, SCA, and DSA. The statistically significant difference in APD, SCA, and DSA indexes in the two groups with mild/moderate disability (ODI ≤40%) and the group with severe disability (ODI >40%). A higher DSA and SCA, APD are associated with lower ODI. Decreased APD, SCA, and DSA are all suggestive of decreased spinal function. However, the MRI findings did not correlate with the patient's clinical pain level.

Neural Network Approach on Influence of Ceramics on Dry Sliding Wear in Al-Cu-Zr Metal Matrix Composite

This research aims to investigate the dry sliding wear behavior of Al-Cu-Zr (ACZ) metal matrix composite (MMC) at various Aluminium oxide (AOX) Nano particles compostion. ACZ alloy is widely used in on road and space mobility applications where the focus is on wear resistance. To enhance the resistance towards wear, Al alloy is reinforced with AOX nanoparticles at 3%, 6%, and 9% addition using stir casting process. The wear assessment is conducted at varying Composition (COMP), load (LD), speed (Ns), and sliding distance (SLDN). The wear rate (WRT) and Frictional force (FRFC) are analysed for different process parameters. To optimize the experiments, Taguchi signal-to-noise ratio (STNR) is used. Taguchi analysis show that the optimal conditions for minimum WRT and FRFC are at 6% AOX addition, 12.5 N load, 500 rpm speed, and 35 mm SLDN. Furthermore, an artificial neural network model (ANNM) is developed to forecast the WRT and FRFC. The neural network model is trained using the experimental data and the optimized process parameters. The neural network is a powerful tool that can learn the complex relationship between input and output variables. The model is validated using the experimental data, and the results show that the neural network model can predict the WRT and coefficient of friction with high accuracy. The Taguchi optimization and neural network model can provide a systematic approach to optimizing the process parameters and predicting the WRT and coefficient of friction. This approach can be applied to other materials and processes to improve their performance and reduce costs.

Influence of Applied Load and Sliding Distance on Wear Performance of AlSi7Mg0.6 Aluminum Alloy

The wear performance of AlSi7Mg0.6 aluminum alloy, a casting aluminum alloy used in positioning devices for catenary systems of high-speed railways which fail frequently on lines where the speed of trains is higher than 300 m/s, is discussed in this study. It was estimated that sliding contact wear occurred and mainly contributed to the failure. To explore the competing mechanism for frictional wear failure, frictional experiments based on three groups of sliding distance (0.5 mm, 1.5 mm and 3.0 mm) and four groups of applied loads (20 N, 50 N, 100 N and 200 N) were implemented. Three-dimensional morphological observation results revealed that the wear volumes at a sliding distance of 0.5 mm were only about 1/10 of that at a sliding distance of 3.0 mm. It was also revealed that the wear volume based on a sliding distance of 3.0 mm and applied load of 20 N was still much larger than the wear volume under a sliding distance of 0.5 mm and applied load of 200 N. SEM observation of the microstructures revealed that abrasive wear was the dominant wear mechanism in dry sliding friction conditions. A simplified positioning device model was also established to study the influence of tension force on wear performance. The simulation results revealed that smaller tension force between the positioning support and positioning hook would lead to higher relative sliding distance and larger wear depth. Sliding contact friction should be avoided due to relatively large wear efficiency compared with rolling contact friction. Both experimental and simulation results suggested that proper tension force was preferred in assembling components which could ensure rolling contact friction rather than sliding contact friction.

Effect of Transient Tide-Level Change on the Sliding Distance of a Breakwater Caisson during Storms

When a storm begins at low tide, the tide will increase with time. However, when a storm begins at high tide, the tide will decrease during the storm. Therefore, to achieve more accurate estimations of sliding distance, both the tide-level change and the tide level itself should be considered. In this study, a new approach to taking the change in tide level into account when calculating the sliding distance of gravity-type breakwaters during storms is proposed. Conducting the numerical analysis, we found that, when typhoons begin at low tide, the sliding distance of the breakwater increases when considering the change in tide level, and conversely, when they begin at high tide, the change in tide level results in the sliding distance being shortened. Therefore, considering the change in tide level with time can result in a more accurate and realistic estimation of the sliding distance of the breakwater being attained. This is expected to contribute greatly to the development of deformation-based performance design methods for breakwaters.

Statistical Analysis of Tribological Properties of Mg(AM50)/GNF-Al2O3sf Hybrid Composites

The present article describes the tribological properties of Mg-based hybrid composites reinforced with graphite nanofiber (GNF) and alumina short fiber (Al2O3sf) that were investigated. The Mg/GNF/Al2O3sf hybrid composites with varying volume fraction of fiber (10 vol.%, 15 vol.%, 20 vol.%) were developed. SEM observations indicate that the GNF cluster distributions within the array of the Al2O3sf network are found to be relatively good. The Taguchi design of the experiment has been applied to conduct the wear test, and the statistical analysis of variance (ANOVA) has been used to evaluate the influence of wear test parameters on the wear loss and coefficient of friction (COF) of the composites. The influence of wear test parameters such as volume fraction of fiber (VF), applied load (AL), sliding distance (SD), and sliding speed (SP) on the wear loss and COF of composites was analyzed under dry sliding conditions. The results of ANOVA indicate that the sliding distance was found to be the prominent factor affecting wear loss, and the applied load influenced the COF most significantly. Furthermore, the composites with 20 vol.% of fiber had lower wear loss than those with 10 vol.% and 15 vol.% of fiber. The COF of composites with 15 vol.% of fiber was found to be slightly lower compared to the 10 vol.% and 20 vol.% of fiber cases. The results imply that the hybridization of GNFs and Al2O3sf, as well as the formation of Mg17Al12 and Al2MgC2 precipitates enhanced the tribological properties of the Mg hybrid composites.

Statistical experiment analysis of wear and mechanical behaviour of abaca/sisal fiber-based hybrid composites under liquid nitrogen environment

Composite materials are increasingly replacing synthetic fiber combinations in various applications. However, certain extreme environments on Earth and in space require structures to operate under low temperatures, specifically cryogenic conditions, which can significantly affect material reactions. Therefore, the main focus of this study is to develop and evaluate hybridized biocomposites, specifically assessing their tensile, bending, and impact strengths in a controlled liquid nitrogen environment (77 K). Utilizing the Taguchi optimization method, the statistical analysis of wearing characteristics was carried out utilizing cryogenic treatment hours, load, sliding distance, and weight percentage of abaca and sisal fibers. When 20 percent abaca and sisal were mixed, tensile performance increased from 28.96 to 36.58 MPa. Likewise, the same mixture increased bending strength from 59.63 to 75.68 MPa, and impact strength improved from 59.36 to 71.25 J/m. The cryogenic treatment of composite materials for 15–30 min improved the mechanical characteristics of the materials by enhancing the binding between reinforcements and substrate. The Taguchi 27 test outcomes showed a decreased friction coefficient of 7.79 × 105 mm3/Nm in the 10th trial with 30 min of cold working, 10% hybrid fibers, 600 m slide distance, and a 4 N load combination. Frictional coefficient data indicated the lowest rate during the third experiment with 15 min of cryogenic treatment, 10% hybrid fibers, 1,500 m slide length, and a 12 N load combination. The microstructural analysis of the fractured specimen was evaluated by scanning electron microscopy. Finally, such composite materials are employed in liquid propellant tanks, satellites, spaceships, rocket constructions, aeroplane components at cruising altitudes, and other applications.

Effect of alkali treatment on wear behaviour of walnut shell reinforced bio-composites

In this study, the tribological behaviour of composites reinforced with walnut shells (0 % to 10 % at 2 % interval) has been investigated. The pin-on-disc machine is used us to observe the impact of walnut shell addition on the wear properties of the composite. An increase in walnut shell content is associated with diminished wear resistance. Inadequate adhesion among the fibre and the matrix was also identified as the cause of this wear strength degradation in testing results. Pre-treatment of walnut shell with sodium hydroxide increases wear resistance by strengthening matrix adherence to fibre. Different normal loads (from 6 N to 48 N), sliding velocities of 100 cm/s, and sliding distances (SD) of 0 to 2000 m were all considered in the experiments. The findings revealed that operation settings and filler reinforcement have an important impact on the wear behaviour of composite containing walnut shell filler. In comparison to dry and hot contact, the specific wear rate (SWR) is nearly 7 to 8 times lesser in wet conditions. Additionally, equated to a composite with a higher filler loading, the performance of one with a lesser loading of walnut shell filler was superior in terms of wear.

AZ63/Ti/Zr Nanocomposite for Bone-Related Biomedical Applications.

Considering the unique properties of magnesium and its alloy, it has a vast demand in biomedical applications, particularly the implant material in tissue engineering due to its biodegradability. But the fixing spares must hold such implants till the end of the biodegradation of implant material. The composite technology will offer the added benefits of altering the material properties to match the requirements of the desired applications. Hence, this experimental investigation is aimed at developing a composite material for manufacturing fixing spares like a screw for implants in biomedical applications. The matrix of AZ63 magnesium alloy is reinforced with nanoparticles of zirconium (Zr) and titanium (Ti) through the stir casting-type synthesis method. The samples were prepared with equal contributions of zirconium (Zr) and titanium (Ti) nanoparticles in the total reinforcement percentage (3%, 6%, 9%, and 12%). The corrosive and tribological studies were done. In the corrosive study, the process parameters like NaCl concentration, pH value, and exposure time were varied at three levels. In the wear study, the applied Load, speed of sliding, and the distance of the slide were considered at four levels. Taguchi analysis was employed in this investigation to optimize the reinforcement and independent factors to minimize the wear and corrosive losses. The minimum wear rate was achieved in the 12% reinforced sample with the input factor levels of 60 N of load on the pin, 1 m/s of disc speed at a sliding distance was 1500 m, and the 12% reinforce samples also recorded a minimum corrosive rate of 0.0076 mm/year at the operating environment of 5% NaCl-concentrated solution with the pH value of 9 for 24 hrs of exposure. The prediction model was developed based on the experimental results.

Characterization of Polymethyl Methacrylate (PMMA) Composites with Graphite

PMMA Composites have become the most popular materials due to its excellent strength-to-weight ratio, graphite reinforced for engineering applications. Researchers have used a variety of reinforcements to enhance the mechanical and tribological characteristics of various polymer matrixes, including carbon fiber, glass fiber, and carbon-based nanoparticles, graphite, alumina, silica, silicon carbide, titanium oxide, bacterial cellulose, Nano-cellulose, and zirconium oxide.This project focuses on the characteristics of composites made with graphite reinforcements that are based on polymethyl methacrylate. Die casting was used to manufacture this reinforced composite. To enhance the mechanical qualities (impact strength and hardness), tribological parameters (slide distance, normal load, and sliding velocity are employed for wear rate). Therefore, in this study, greater focus has been placed on on PMMA-based composites with graphite reinforcement.

Arthroscopic advancement of the supraspinatus muscle and tendon for posterosuperior massive rotator cuff tears

The tension-free repair of retracted supraspinatus tears with the open muscle and tendon advancement technique first described by Debeyre in 1965 gave satisfactory clinical results. The purpose of this anatomical study was to test the feasibility of an arthroscopic supraspinatus advancement technique. A total of 10 cadaveric shoulders were operated. We assessed the feasibility, measured the slide distance, and recorded the position of the suprascapular nerve (SSN) for each shoulder. Reattachment of the tendon to its native footprint was achieved in all cases. The mean slide distance was 38.8 mm ± 3.6 (33–44). The SSN was released and tension-free in all shoulders. Arthroscopic advancement of the supraspinatus muscle and tendon enables complete rotator cuff repair in irreparable retracted posterosuperior tears and is a noteworthy alternative to the other techniques. Level of Evidence: IV.

Impact of surface texturing on the tribological behaviour of aluminium-silicon (Al-Si/Al2O3) advanced composite under dry and lubricating conditions

In the present work, modification of aluminum-silicon (Al-Si) alloy based advanced composite surface is performed using laser texturing (LT). Surface texturing (ST) with different patterns, i.e., dimple (T1), square (T2), triangular (T3), and line hatched (T4) textures are done on the alloy surface and its impact on the mechanism to reduce friction and wear are investigated. The tribo tests are conducted at 10 N load, Hertzian contact pressure (Pmax) 708.7 MPa, 1 mm stroke length, frequency 50 Hz and sliding distance (SD) up to 450 m. The tribological behavior of the non-textured surface (NTS) and textured surface (TS) are examined under dry sliding conditions (DSC) and two lubricating sliding conditions (LSC) comprising of virgin PAO-4 (Lube-1) and PAO-4 + 1 wt% graphene nanoplatelets (Lube-2). T2 texture reveals a 49.53%, 69.21% and 44.91% decrease in friction coefficient(COF) and 58.1%, 43.74% and 83.86% decrease in wear volume (WV) than the NTS for DSC, Lube-1 and,Lube-2, correspondingly. Results show that ST improved friction efficiency, and shortened the running-in period. The current study results help to provide in-depth interpretation of micro-texturing and its relationship w.r.t. tribological characteristics.

Collagen Type-I Agent Reduced Postoperative Bowel Adhesions Following Laparoscopic and Robot-Assisted Radical Prostatectomy: A Prospective, Single-Blind Randomized Clinical Trial.

This study aimed to compare the anti-adhesive effect of collagen type-I (COL) agent and hyaluronic acid-carboxymethylcellulose (HA/CMC) following laparoscopic and robotic radical prostatectomies. This study was a randomized, controlled, single-blind, multicenter study using COL and HA/CMC in patients who underwent laparoscopic and robotic radical prostatectomies. All patients were randomly assigned to either the COL (n = 66) or HA/CMC (n = 65) group. Viscera slide ultrasound sonography was recorded on the day of surgery (V2) and 12 weeks later (V4). The primary end point was the difference in the excursion distance in the viscera slide ultrasonography between V2 and V4. A total of 131 patients participated in this study. The viscera slide distance in the test and control groups was 1.89 ± 0.49 cm and 1.80 ± 0.45 cm, respectively, at V2 (p = 0.275). The average distance of the viscera slide in the test and control group was 1.59 ± 0.49 cm and 1.64 ± 0.45 cm, respectively at V4 (p = 0.614). None of the patients showed significant adverse effects. This randomized study showed that the efficacy and stability of the gel-type COL anti-adhesion agent are not inferior to those of HA/CMC, of which the properties are established.