원자력 발전소에서 배관 시스템은 냉각수 및 오염수를 운반하고 생성된 증기를 터빈으로 이동시켜 에너지를 생산하는 중요한 설비이다. 국내에 건설된 원자력 발전소의 가동연수가 증가함에 따라 배관 시스템의 물리적, 기계적 성질의 열화현상은 발생할 수 있으며 이를 경년열화로 정의한다. 배관 시스 템의 경년열화는 재료의 피로, 부식(국부감육), 마모 등과 같은 메커니즘을 통해 발생할 수 있으며 재 료의 강도 및 시스템의 성능 저하와 균열을 야기할 수 있다. 지속적이고 안정적인 에너지 생산을 위해 경제성과 정확도를 고려한 원전 배관 시스템의 손상 감시 기술은 필요하다. 따라서 본 연구는 원전 배 관 시스템의 손상 감시 기술을 개발하기 위한 기초적인 연구로써 배관 시스템의 취약요소로 판단되는 elbow의 국부적인 감육에 따른 거동의 변화를 분석하고자 한다.

A heat exchanger refers to a pressure vessel that indirectly exchanges heat between low-temperature/ high-temperature fluids with a solid wall interposed therebetween, and a shell-and-tube cylindrical heat exchanger is generally applied. The shell-and-tube cylindrical heat exchanger is widely used in ships and there is a problem in that the welding area is narrow and welding defects occur a lot due to high-level welding. In particular, in the case of a ship heat exchanger, if a problem occurs in the welding part during operation, the possibility of a safety accident is high, and repair is not easy. In this study, to solve this problem, the GTAW(Gas Tungsten Arc Welding) method was applied to secure the optimum conditions for pipe welding of STS304 material with a thickness of 5.5mm and to conduct a test. Afterwards, in accordance with the ASME rules, welding performance was verified through cross-sectional observation of welds, mechanical property tests, (tensile strength, bending strength, cryogenic impact strength) and non-destructive testing(PT, RT).

The effect of the laser beam diameter on the microstructure and hardness of 17-4 PH stainless steel manufactured via the directed energy deposition process is investigated. The pore size and area fraction are much lower using a laser beam diameter of 1.0 mm compared with those observed using a laser beam diameter of 1.8 mm. Additionally, using a relatively larger beam diameter results in pores in the form of incomplete melting. Martensite and retained austenite are observed under both conditions. A smaller width of the weld track and overlapping area are observed in the sample fabricated with a 1.0 mm beam diameter. This difference appears to be mainly caused by the energy density based on the variation in the beam diameter. The sample prepared with a beam diameter of 1.0 mm had a higher hardness near the substrate than that prepared with a 1.8 mm beam diameter, which may be influenced by the degree of melt mixing between the 17-4 PH metal powder and carbon steel substrate.

물체의 무게감은 감각 측면에서 중요하게 다뤄진 연구 주제로 물체의 무게뿐만 아니라, 크기, 색상, 재질 등의 영 향을 받아 크기-무게, 색상-무게 그리고 재질-무게 왜곡 현상을 갖는 것으로 알려져 있다. 온도는 우리의 일상생활에 매우 중요한 환경적 요소이나, 물체의 온도가 무게감에 어떤 영향을 미치는지에 대해 충분한 연구가 되어 있지 않다. 본 연구는 물체의 온도가 무게감에 미치는 영향을 파악하고자 하였다. 이를 위해 본 연구는 물체의 온도, 무게를 조정하기 용이한 스테인리스 컵을 무게감 측정 물체로 선정하였고, 온도 5 수준(0, 9, 20, 40, 70℃), 무게 2 수준(250, 400g)의 조합으로 10개의 스테인리스 컵을 준비하였다. 무게감 실험에는 건강한 20대 남여 40명이 참여하였고, modulus 방법에 따라 기준 컵 대비 주어진 컵의 무게감을 평가하였다. 실험 데이터의 분석 결과, 온도, 무게 모두 무게감에 유의한 영향을 주는 것으로 나타났다. 온도가 무게감에 주는 영향은 물체의 무게에 따라 다르게 나타났는 데, 적은 컵 무게(250g)로 컵의 무게감이 작은 경우 컵의 온도는 무게감에 영향을 주지 않았다. 반면, 큰 컵 무게 (400g)에서 낮은 온도에서 무게감이 커지는 것으로 나타났다. 이의 결과는 온도의 물체 무게감의 영향이 크기-무게 왜곡에 따라 달라짐을 의미한다.

The formation behavior of a passive state film on the surface of STS304 in electrolytic solution was analyzed to determine its metallic ion composition. The properties of passive state films vary depending on the Fe and Cr ions in the electrolytic solution. It was observed that the passive state film surface became flat and glossy as the concentration of Fe and Cr ions in the electrolytic solution increased. The corrosion resistance property of the passive state film was proportional to the amount of Fe and Cr in the electrolytic solution. An initial passive state film with high Fe concentration was formed on the surface of STS304 during early electrolytic polishing. Osmotic pressure of Fe ions occurs between the passive state film and electrolytic solution due to the Fe ion concentration gradient. The Fe in the passive state film is dissolved into the electrolyte, and Cr fills up the Fe ion vacancies. As a result, a good corrosion-resistant floating film was formed. The more Fe ions in the electrolytic solution, the faster the film is formed, and as a result, a flat passive state film containing a large amount of Cr can be formed.

인류 문명은 재료의 발달과 함께 진화를 해왔으며 20세기 후반부터 등장한 스마트재료는 외부 환경에 맞춰 스스로 적응을 하는 재료이다. 많은 종류의 스마트재료 중 대표물질이라고 할 수 있는 형상기억합금은 온도에 반응하여 자가 치유효과 를 볼 수 있는 재료이다. 외부 하중에 의한 변형을 자가치유 효과를 사용하여 회복을 하고자 하는 연구는 계속되어 왔지만 온 도의 변화를 구조물 전체적으로 줘야한다는 많은 불편이 있었다. 따라서 본 연구에서는 이 효과를 증진하여 상온에서도 자가 치유효과를 할 수 있는 초탄성 형상기억합금을 이용한다. 구조물에 있어서의 초탄성 형상기억합금의 능력을 스테인리스강과 함 께 비교하고 비교를 위해 강재가 가장 변형되기 쉬운 형태인 와이어형태로 가공하여 다양한 인장실험을 진행한다. 인장실험의 종류는 총 3가지로 변위를 다르게, 인장속도를 다르게, 선 인장력을 다르게 하는 실험으로 진행된다. 이때의 응력, 변형률간의 그래프를 그리고 잔류변형, 재료의 항복점 및 회복, 에너지 소산과 같은 구조물에 있어서의 재료적 능력을 파악하고 따로 그래 프를 도식화 하여 해석하였다.

In this study, we have prepared a Ti-6Al-4V/V/17-4 PH composite structure via a direct energy deposition process, and analyzed the interfaces using scanning electron microscopy (SEM) and transmission electron microscopy (TEM). The joint interfaces comprise two zones, one being a mixed zone in which V and 17-4PH are partially mixed and another being a fusion zone in the 17-4PH region which consists of Fe+FeV. It is observed that the power of the laser used in the deposition process affects the thickness of the mixed zone. When a 210 W laser is used, the thickness of the mixed zone is wider than that obtained using a 150 W laser, and the interface resembles a serrated shape. Moreover, irrespective of the laser power used, the expected  phase is found to be absent in the V/17-4 PH stainless steel joint; however, many VN precipitates are observed.

This study investigates the effect of process stopping and restarting on the microstructure and local nanoindentation properties of 316L stainless steel manufactured via selective laser melting (SLM). We find that stopping the SLM process midway, exposing the substrate to air having an oxygen concentration of 22% or more for 12 h, and subsequently restarting the process, makes little difference to the density of the restarted area (~ 99.8%) as compared to the previously melted area of the substrate below. While the microstructure and pore distribution near the stop/restart area changes, this modified process does not induce the development of unusual features, such as an inhomogeneous microstructure or irregular pore distribution in the substrate. An analysis of the stiffness and hardness values of the nano-indented steel also reveals very little change at the joint of the stop/restart area. Further, we discuss the possible and effective follow-up actions of stopping and subsequently restarting the SLM process.

This article suggests the machine learning model, i.e., classifier, for predicting the production quality of free-machining 303-series stainless steel(STS303) small rolling wire rods according to the operating condition of the manufacturing process. For the development of the classifier, manufacturing data for 37 operating variables were collected from the manufacturing execution system(MES) of Company S, and the 12 types of derived variables were generated based on literature review and interviews with field experts. This research was performed with data preprocessing, exploratory data analysis, feature selection, machine learning modeling, and the evaluation of alternative models. In the preprocessing stage, missing values and outliers are removed, and oversampling using SMOTE(Synthetic oversampling technique) to resolve data imbalance. Features are selected by variable importance of LASSO(Least absolute shrinkage and selection operator) regression, extreme gradient boosting(XGBoost), and random forest models. Finally, logistic regression, support vector machine(SVM), random forest, and XGBoost are developed as a classifier to predict the adequate or defective products with new operating conditions. The optimal hyper-parameters for each model are investigated by the grid search and random search methods based on k-fold cross-validation. As a result of the experiment, XGBoost showed relatively high predictive performance compared to other models with an accuracy of 0.9929, specificity of 0.9372, F1-score of 0.9963, and logarithmic loss of 0.0209. The classifier developed in this study is expected to improve productivity by enabling effective management of the manufacturing process for the STS303 small rolling wire rods.

This study suggests a machine learning model for predicting the production quality of free-machining 303-series stainless steel small rolling wire rods according to the manufacturing process's operation condition. The operation condition involves 37 features such as sulfur, manganese, carbon content, rolling time, and rolling temperature. The study procedure includes data preprocessing (integration and refinement), exploratory data analysis, feature selection, machine learning modeling. In the preprocessing stage, missing values and outlier are removed, and variables for the interaction between processes and quality influencing factors identified in existing studies are added. Features are selected by variable importance index of lasso regression, extreme gradient boosting (XGBoost), and random forest models. Finally, logistic regression, support vector machine, random forest, and XGBoost is developed as a classifier to predict good or defective products with new operating condition. The hyper-parameters for each model are optimized using k-fold cross validation. As a result of the experiment, XGBoost showed relatively high predictive performance compared to other models with accuracy of 0.9929, specificity of 0.9372, F1-score of 0.9963 and logarithmic loss of 0.0209. In this study, the quality prediction model is expected to be able to efficiently perform quality management by predicting the production quality of small rolling wire rods in advance.

Martensitic stainless steel is commonly used in the medical implant instrument. The alloy has drawbacks in terms of strength and wear properties when applied to instruments with sharp parts. 440C STS alloy, with improved durability, is an alternative to replace 420 J2 STS. In the present study, the carbide precipitation, and mechanical and corrosion properties of STS 440C alloy are studied as a function of different heat treatments. The STS 440C alloy is first austenitized at different temperatures; this is immediately followed by oil quenching and sub-zero treatment. After sub-zero treatment, the alloy is tempered at low temperatures. The microstructures of the heat treated STS 440C alloy consist of martensite and retained austenite and carbides. Using EDX and SADP with a TEM, the precipitated carbides are identified as a Cr23C6 carbide with a size of 1 to 2 μm. The hardness of STS 440C alloy is improved by austenitization at 1,100 oC with sub-zero treatment and tempering at 200 oC. The values of Ecorr and Icorr for STS 440C increase with austenitization temperature. Results can be explained by the dissolution of Cr-carbide and the increase in the retained austenite. Sub-zero treatment followed by tempering shows a little difference in the properties of potentiodynamic polarizations.

Additive manufacturing (AM) is a highly innovative method for joining dissimilar materials for industrial applications. In the present work, AM of STS630 and Ti-6Al-4V powder alloys on medium entropy alloys (MEAs) NiCrCo and NiCrCoMn is studied. The STS630 and Ti64 powders are deposited on the MEAs. Joint delamination and cracks are observed after the deposition of Ti64 on the MEAs, whereas the deposition of STS630 on the MEAs is successful, without any cracks and joint delamination. The microstructure around the fusion zone interface is characterized by scanning electron microscopy and X-ray diffraction. Intermetallic compounds are formed at the interfacial regions of MEA-Ti64 samples. In addition, Vicker’s hardness value increased dramatically at the joint interface between MEAs and Ti-6Al-4V compared to that between MEAs and STS630. This result is attributed to the brittle nature of the joint, which can lead to a decrease in the joint strength.

Thermal management is a critical issue for the development of high-performance electronic devices. In this paper, thermal conductivity values of mild steel and stainless steel(STS) are measured by light flash analysis(LFA) and dynamic thermal interface material(DynTIM) Tester. The shapes of samples for thermal property measurement are disc type with a diameter of 12.6 mm. For samples with different thickness, the thermal diffusivity and thermal conductivity are measured by LFA. For identical samples, the thermal resistance(Rth) and thermal conductivity are measured using a DynTIM Tester. The thermal conductivity of samples with different thicknesses, measured by LFA, show similar values in a range of 5 %. However, the thermal conductivity of samples measured by DynTIM Tester show widely scattered values according to the application of thermal grease. When we use the thermal grease to remove air gaps, the thermal conductivity of samples measured by DynTIM Tester is larger than that measured by LFA. But, when we did not use thermal grease, the thermal conductivity of samples measured by DynTIM Tester is smaller than that measured by LFA. For the DynTIM Tester results, we also find that the slope of the graph of thermal resistance vs. thickness is affected by the usage of thermal grease. From this, we are able to conclude that the wide scattering of thermal conductivity for samples measured with the DynTIM Tester is caused by the change of slope in the graph of thermal resistance-thickness.

Selective laser melting (SLM), a type of additive manufacturing (AM) technology, leads a global manufacturing trend by enabling the design of geometrically complex products with topology optimization for optimized performance. Using this method, three-dimensional (3D) computer-aided design (CAD) data components can be built up directly in a layer-by-layer fashion using a high-energy laser beam for the selective melting and rapid solidification of thin layers of metallic powders. Although there are considerable expectations that this novel process will overcome many traditional manufacturing process limits, some issues still exist in applying the SLM process to diverse metallic materials, particularly regarding the formation of porosity. This is a major processing-induced phenomenon, and frequently observed in almost all SLM-processed metallic components. In this study, we investigate the mechanical anisotropy of SLM-produced 316L stainless steel based on microstructural factors and highly-oriented porosity. Tensile tests are performed to investigate the microstructure and porosity effects on mechanical anisotropy in terms of both strength and ductility.

The microstructure and mechanical characteristics of SUS630 specimens fabricated using the direct energy deposition (DED) process are investigated. In DED, several process parameters such as laser scan speed, chamber gas flow, powder carrier gas flow, and powder feed rate are kept fixed; the laser power is changed as 150 W, 180 W, and 210 W. As the laser power increases, the surface becomes smooth, the thickness uniformity improves, and the size and number of pores decreases. With the increase in laser power, the hardness deviation decreases and the average hardness increases. The microstructure of the material is columnar; pores are formed preferentially along the columnar interface. The lath-martensite phase governs the overall microstructure. The volumetric fraction of the retained austenite phase is measured to increase with the increase of laser input power.

대부분의 세균은 표면에서 바이오필름을 형성한 상태로 존재하며, 식품 가공시설이나 주방 배수구 등의 경우 식품 접촉표면에서 잔류하는 음식물 찌꺼기와 미생물 세포의 정착으로 바이오필름을 형성한다. 표면에서 형성된 바이오필름은 제품 및 기기․기구의 교차 오염의 원인이 되며 식품을 매개로 한 식중독 발병의 가능성이 있어 식품 안전성의 잠재적 위해 요소가 된다. 본 연구는 식중독 발생 원인균인 E. coli에 의해 형성되는 바이오필름을 조사하기 위하여 수행되었으며, 바이오필름은 스테인리스 스틸 쿠폰 표면에 형성되어 부착된 세균수로 측정하였다. 연구 결과 Tryptic soy broth 배지에서 37℃에서 7일간 배양 할 때 쿠폰 표면에 대장균으로 인한 바이오필름이 형성되며, 이 때 대장균수는 3.98 log CFU/cm2로 측정되었다.

There is a need for the development of insulation products with excellent insulation performance and durable insulation for building components. Various policies has been trying to improve the energy efficiency of buildings. The development of energy-saving building materials is also evolving as the energy saving of buildings becomes a main trend. In public and commercial buildings, reliability and beauty are emphasized with respect to the safety of buildings. The purpose of this study was to develop a manufacturing equipment and technology for the development of high airtight stainless steel insulation doors that can meet energy saving design standards of buildings.