Corrections to: Int Adv Res Eng J 03(03):182-188, 2019 DOI: 10.35860/iarej.526440 There was a spelling error in the title of the original article. “ionocromic” word was corrected as “ionochromic” in the title. Author name of “Ayben Pakolpakçil”, her affiliaction “b) Bursa Uludag University, Graduate School of Natural and Applied Sciences, Görükle, Bursa, Turkey”, her E-mail address “ayben_p@yahoo.com” and her ORCID “0000-0002-6981-4980” were added. Also the footnote “This article is based on the master’s degree thesis of Ayben Pakolpakçil” was added.

Due to the many advantages it provides metal matrix composite materials, it is used as a publication in many industrial applications, especially in the automotive industry. Therefore, it is necessary to know the properties of these materials such as mechanical, tribological and corrosion. In this study, the effect of different sliding speeds was investigated on wear behavior of aluminum matrix composite materials produced by adding different amounts of ZrO2 by mechanical alloying method. 4 different amounts (3%, 6%, 9% and 12%) ZrO2 were added to the aluminum 2% graphite matrix. Composite powders mechanically alloyed for 60 minutes, were produced green compact samples by cold pressed with a pressure of 700 MPa. The green compacts produced were sintered for 2 hours at 600 °C. The produced aluminum composites were characterized by microstructure, density and hardness measurements. Wear tests were carried out on a block on-ring type wear testing device, under 20 N load and three different sliding speed (0.2 ms-1, 0.4 ms-1 and 0.6 ms-1) and three different sliding distances (53 m, 72 m and 94 m). As a result of the studies, hardness and density values increased as the amount of ZrO2 in the matrix increased. Wear test results showed that weight loss decreased with increasing amount of reinforcement in the matrix.

In this study, the distribution of walnut shell ash and cone ash, which were used in different proportions as the filling materials of SBR rubber compounds, in the matrix were investigated by the developed image processing program. Styrene-Butadiene Rubber (SBR 1502) was employed as the main matrix material. Adhering to the same compound in the experiments, in addition to the carbon black in the compound, 5 different and 10% by mass of Walnut Shell Ash (WSA) was added to the dough, and the Cone Ash (CA) by 5% and 10% by mass, creating a total of 5 different compounds. SEM images of the rupture surfaces were taken and transferred to the developed image processing program, in which the areas covered by walnut shell ash and cone ash in the images were determined. The number of designated surface areas and the area it covers on the image were removed.

The NiCr bond coated piston and valve surfaces were coated with Cr2O3, Cr2O3 + 50% Al2O3, Cr2O3 + 75% Al2O3 powders by thermal barrier coating (TBC). The influence of the coating layers on CO, CO2, HC and NOx was examined both statistically and experimentally. The statistical investigation was carried out by using Taguchi analysis. According to the experimental test results obtained at different engine speeds, the sample with the highest CO2 value was found at 2600 rpm in the Cr2O3 + 75% Al2O3 coated diesel engine and the sample with the lowest CO value was found at 2600 rpm in the Cr2O3 + 75% Al2O3 coated diesel engine. Also, the sample with the lowest NOx value was found at 1400 rpm in the standard diesel engine and the sample with the lowest HC value was found at 2600 rpm in the Cr2O3 + 75% Al2O3 coated diesel engine. Experimental results were analyzed by Taguchi optimization method according to L16 (42) orthogonal array. According to the statistical results obtained from ANOVA test, factor levels affecting the exhaust emission values best ??were found. In general, better emission values ??have been determined in diesel engines with bond coated ceramic layers.

Reverse engineering methods are important for remodeling or measuring damaged or non-damaged parts. Reverse engineering also enables the design of complex components, reducing actual product production time and prototype production time. With this method, damaged gear wheels can be modeled in a short time due to the regular geometry and symmetrical properties of the teeth and it is real models can be produced. In this study, the damaged motor cam gear was scanned with a three dimensional (3D) scanner and a mesh model was formed. Then, solid model of part was created and genuine prototype was produced with 3D printer. The deviations of geometric dimensions between the mesh model and the solid model were analyzed and the levels of convergence were determined. The three-dimensional prototyping method provides great convenience for the designer due to it gives quick feedback in product development process. At the end of the study, geometric values between solid model and prototype model were compared and deviations from actual value were determined.

Reverse engineering methods are important for remodeling or measuring damaged or non-damaged parts. Reverse engineering also enables the design of complex components, reducing actual product production time and prototype production time. With this method, damaged gear wheels can be modeled in a short time due to the regular geometry and symmetrical properties of the teeth and it is real models can be produced. In this study, the damaged motor cam gear was scanned with a three dimensional (3D) scanner and a mesh model was formed. Then, solid model of part was created and genuine prototype was produced with 3D printer. The deviations of geometric dimensions between the mesh model and the solid model were analyzed and the levels of convergence were determined. The three-dimensional prototyping method provides great convenience for the designer due to it gives quick feedback in product development process. At the end of the study, geometric values between solid model and prototype model were compared and deviations from actual value were determined.

Split-ring resonator is a popular research topic in literature. As known, it may be used in the design of electromagnetic metamaterials. Additionally, these structures can be preferred in microwave filter devices. In this study, a band-stop filter was designed for GSM-900 and 2.4 GHz ISM band by using split-ring resonators. Two split-ring arrays (sizes of one of these arrays were larger than the other) were loaded on the transmission line and each array consisted of four identical rings. Thus, a dual-band pass filter was obtained and this filter covered the frequency of 0.91 (GSM) and 2.43 (ISM) GHz. Then, this proposed design was fabricated and measured. According to the measurement results, the fabricated structure operated at 0.93 GHz and 2.47. The experimental results were consistent with the simulation results. As a result, thanks to the proposed structure, two frequencies can be stopped at the same time. There is no need to design a different filter structure for each frequency.

In this study, it is aimed to design a robot that can be used in fields such as land exploration, mine search, ammunition transportation, search and rescue activities in natural disasters. For this purpose, a six-legged robot was designed. The robot can move evenly in uneven terrain conditions, stop, accelerate and overcome the obstacle when it sees an obstacle. The mechanical and electronic design of the robot was realized, and a prototype was manufactured. The flexibility of the legs used in the design ensures that the robot can move more easily in field conditions. The synchronous speed and direction of the motors are controlled, and the robot moves in a balanced way. With the IP camera mounted on a Raspberry Pi, snapshots were taken from the robot. Mechanical and electronic design of six-legged robot capable of moving on uneven ground was realized. The six-legged robot was placed with three legs on the right and three legs on the left. The motors were operated simultaneously to allow the robot to move evenly. Thanks to its leg structure, it was aimed to travel in land conditions. Image control was provided on the computer with the camera placed on the robot. In this study, the program written into the electronic cards run the motors simultaneously.

In this study, geothermal and solar assisted cogeneration system is modeled to the supply of electricity and cooling. The energy requirements of Afyon Kocatepe University, Faculty of Technology building, are investigated. The building cooling system is performed by using heat energy provided from geothermal and solar energy in an absorption cooling system. Subsequently, it is aimed to generate electricity in the Organic Rankine Cycle (ORC) with geothermal water and waste heat leaving the cycle. It is planned that the electricity produced in the power cycle is supplied to the grid system according to the requirement. The cooling load of the faculty building is calculated by considering the working conditions of the faculty building. The ideal thermodynamic analysis and performance evaluation of the system has been performed by using Engineering Equation Solver (EES) software into consideration by considering the cooling season, geothermal and solar energy data of Afyon in the summer season. The parametric study of the system is performed by considering different geothermal water temperature and solar radiation. The reversible COP of the absorption cooling system is calculated to be 3.18. The maximum heat energy value obtained from solar energy is calculated to be 74.97 kW in June. The highest ideal cooling capacity and maximum power provided from geothermal and solar assisted cogeneration energy systems are calculated to be 40,222 kW and 4688 kW, respectively, in June. These results are sufficient to supply the electrical and cooling requirements of the faculty building.

Spatial and temporal distribution of PM10 is modeled by Bayesian Maximum Entropy (BME) method. It is the spatiotemporal estimation method which combines exact measurements with the secondary information by considering local uncertainties. In this study, daily average PM10 data are used to generate spatial and temporal PM10 maps. Both annual and seasonal estimations have been realized. This is the first study which concentrates on spatiotemporal distribution of PM10 for all regions of Turkey by using Bayesian Maximum Entropy method. Error variances are used as performance criteria in both seasonal and annual predictions. All prediction results stay within the limits of the confidence intervals. In addition, unknown PM10 values are estimated, including PM10 values over the seas. It is thought that the PM10 maps which show all regions of Turkey in detail are quite invaluable and informative.