Building Orientation Research Articles

Multi-objective optimization of building integrated photovoltaic windows in office building

Building-Integrated Photovoltaics (BIPV) offer a promising solution to enhance building energy efficiency and reduce building energy consumption. Among the various application of BIPV, BIPV windows stand out as an intriguing and notable example. This paper investigates an office building with BIPV windows in five different climatic cities in China. The study considers four variables, including building orientation (BO), window size (WZ), window visible light transmittance (VLT), and type of PV (TOPV). The objective is to minimize both the annual net electricity cost (ANEC) and the extra investment cost of BIPV windows. To simulate the design variables and objective functions, the jEPlus software is employed. Additionally, the jEPlus + EA software uses the SRC and Morris algorithms for sensitivity analysis of design parameters. The multi-objective problem is addressed using the NSGA-II. By conducting optimization, a set of Pareto optimal solutions were obtained. The results demonstrate that the building with BIPV windows can save a minimum of 6.83 % annual electricity costs. Moreover, the static investment payback period for all cities ranges from 7 to 14 years, indicating the economic feasibility of implementing BIPV windows.

Multi-objective optimization of parts construction direction by scaling-enumeration method in L-PBF process

PurposePart building orientation (PBO) is an important factor affecting the quality of laser powder bed fusion (L-PBF), which can affect the surface quality and manufacturing cost. The purpose of this paper is to propose a PBO optimization method to optimize the surface roughness and molding time of parts at the same time on the premise of small calculation scale and arbitrary resolution.Design/methodology/approachEfficient and accurate evaluation is an important index of PBO optimization method. In this paper, a PBO optimization method based on scaling enumeration method is proposed, and the surface roughness and molding time of L-PBF parts are modeled as the objective evaluation function of PBO optimization process. To realize multi-objective optimization, an expert system is established, and the fuzzy multiple-attribute group decision-making theory is used to provide weights for each objective evaluation function.FindingsResearch shows that the scaling-enumeration method can optimize the surface roughness and molding time at the same time and get the best PBO. Compared with the traditional method, the surface roughness and molding time are reduced by 1.1% and 0.58%, respectively, and the operation scale of the scaling-enumeration method is reduced by 99% compared with the traditional method. PBO with arbitrary angular resolution can be achieved.Originality/valueThis paper presents a new method to optimize the forming direction of L-PBF parts. This method has small operation scale and accurate results, so it is meaningful for industrial application.

Predicting the PCM-incorporated building's performance using optimized linear kernel and tree-based machine learning methods

The devising of a precise machine learning-based energy consumption prediction model holds significant importance for taking effective decisions during the early stages of phase change material (PCM) incorporated building design to reduce energy consumption. Few researchers have developed prediction models for estimating the consumption of energy in PCM incorporated buildings. However, there is a need to develop the best-performing machine learning-based prediction model, which is less complex, involve a lower number of hyperparameters, and has a greater ability to generalize hidden patterns among the dependent and independent variables. To address the above shortcomings, the linear kernel and tree model-based prediction models were formulated for PCM-incorporated buildings located in eight cities of subtropical highland climate, considering the variations in their hyperparameters. The evaluation and validation of the formulated models for prediction were performed utilizing several statistical metrics. Test results substantiated that the ensemble-boosted tree-based prediction model (EBT20) exhibited superior efficacy in estimating the energy consumption for PCM-integrated building, having an average R2 > 0.93, NMBE <4 %, and CV-RMSE <8 %. The developed model showed less complexity and better generalization ability at the optimized values of ensemble boosted tree hyperparameters, which are as follows: minimum leaf size = 32, number of learners = 99, and learning rate = 0.1. From comprehensive evaluation conducted to evaluate the interpretability of the prediction model, it was found that the building orientation and PCMs melting temperature are the most influential parameters for achieving energy savings of up to 33 % in the selected climate zone.

A Simulation-Based Study on the Impact of Parametric Design on Outdoor Thermal Comfort and Urban Overheating

Under the current energy crisis and climate change, sustainable urban planning and building design are a priority to achieve a net-zero future, as energy use in buildings for thermal comfort is one of the major carbon emission contributors. To adapt to a rapidly growing and stringent urban environment, where buildings are causing more emissions due to more frequent and severe extreme hot weather events, the parametric design approach has great potential and flexibility in providing a sustainable solution by simulating different design scenarios. This study aims to analyse urban geometry and identify the impact of various built environment scenarios on outdoor thermal comfort under certain climates. The Grasshopper program was used along with the Ladybugs plug-in to provide visualised outcomes of outdoor thermal comfort, with simulation models on Rhinoceros 3D Version 7 SR37 (7.37.24107.1500). Comparing the thermal comfort performance of different design scenarios, based on building height, orientation and urban geometry, helps to identify which factors are more impactful on building design. This study demonstrates the workflow of parametric design in analysing the microclimate pattern and outdoor thermal comfort performance of the existing built environment in Melbourne, Australia, to provide an insight for stakeholders and builders to inform better decision-making in urban planning and building design in order to achieve a zero-emission future.

Multi-Objective Optimization of Morphology in High-Rise Residential Areas for Outdoor Thermal Comfort in Yulin City, Northwest China

Urban residential areas significantly influence outdoor thermal comfort through architectural morphology. This study concentrates on the multi-objective optimization of the thermal comfort environment in residential areas, with a focus on Yulin—a city in the cold, inland region of Northwestern China. Yulin is characterized by its distinctly defined seasons, particularly harsh and windy conditions in the spring, which significantly impact thermal comfort. Utilizing field surveys, characteristics of scale and layout from high-rise residential areas in Yulin were extracted to formulate design strategies adapted to local climates. The Universal Thermal Climate Index (UTCI) served as the optimization criterion, and genetic algorithms, integrated with parametric modeling software, generated multiple layout schemes. These were refined through the Pareto evolutionary algorithm II to optimize thermal comfort across seasons. Furthermore, the Sobol’ sensitivity analysis method was employed to assess the impact of key parameters on outdoor thermal comfort, identifying crucial layout design elements. The optimization improved UTCI values for different seasons, ensuring year-round comfort. Specifically, summer UTCI improved to 25.51, while winter and spring values reached optimal values of −14.02 and −6.41, demonstrating enhanced thermal retention and reduced wind exposure. Sobol’ sensitivity analysis identified building length, orientation, and density as key parameters, highlighting their critical impact on thermal comfort. This study offers practical guidelines for urban residential area design in similar climatic zones, aligning architectural planning with environmental sustainability and enhancing thermal comfort effectively. This study provides practical guidelines for the design of residential areas in cold inland—seasonal windy—regions and other similar climatic zones, aligning building morphology design with environmental sustainability and enhancing thermal comfort effectively.

ARCHITECTURAL SOLUTIONS OF SCHOOL BUILDINGS IN HOT-DRY AND HOT-HUMID REGIONS OF IRAN

Iran is characterized by a diverse climate spectrum, covering a temperate and humid climate in the north of the country and in the coastal areas of the Caspian Sea, a cold climate in the west and in the Zagros mountain range, as well as hot dry and hot-humid conditions prevailing in the central part , in the east, in the Persian Gulf region and in the south of the country. This article focuses on the analysis of architectural features of school buildings in hot-dry and hot-humid regions of Iran, taking into account the specifics of the climate of these areas. The main attention is paid to effective orientation of buildings in relation to the sun, optimization of air conditioning systems, adaptation of lighting to the needs of educational spaces, use of green spaces to create shading, as well as selection of the form and design of school interiors and selection of appropriate building materials. Architectural solutions determined by the climatic features of these regions are being considered in order to increase energy efficiency and ensure user comfort. Considering that schools belong to the category of buildings with a high level of energy consumption, such as electricity, water and gas, adaptation of architectural design to climatic conditions can significantly reduce energy costs. The article offers an overview of suitable climate-adapted architectural solutions for school buildings in certain regions of Iran, emphasizing the importance of an integrated design approach in the context of modern requirements for energy efficiency and sustainable development.

Physical and Hardness Performance at Different Surfaces for Titanium Alloy (Ti6Al4V) Printed Using Selective Laser Melting Process (SLM)

elective laser melting (SLM) 3D product is capable of producing varied surfaces such as top, core and bottom surface depending on the product dimensions and building orientation. Each surface may have differences in physical and mechanical properties such as surface roughness, microhardness, and microstructure. Therefore, this study examined the effects of SLM processing parameters as well as volumetric energy density (VED) on surface roughness, microhardness and microstructure on different 3D product surfaces. In this study, a sample of titanium alloy cube (Ti6Al4V) with different surfaces of up skin 1 (US1), up skin 2 (US2), core skin (CS) and down skin (DS) are printed on a 30° building orientation printed through the SLM process. There are nine sets of parameters printed based on the Taguchi 𝐿9 experimental design method. All printed cube samples were heat treated to remove the residual stresses generated during the printing process. The effect of processing parameters on micro hardness as well as microstructure on each surface has been studied. This study found that SLM printed Ti6Al4V produced almost identical surface quality for different surfaces of the cubic samples. Surface roughness of US2 ranging between 15.38 µm and 26.22 µm, while DS is slightly rougher with surface roughness in the range of 16.05 µm and 27.64 µm. Microhardness in the nine processing sets however was found to have a bigger difference in values of 387 ± 10 HV (US2) and 362 ± 10 HV (DS). In general, US2 surfaces were found to have high microhardness compared to the DS surfaces due to the formation of long, straight needle-like martensitic microstructure.

Study and Analysis of Seismic Performance of RC Structures with Various Building Classes and Orientations

In the framework of this project, an attempt was made to find out the influence of the shape, size and direction of the rectangular columns of the construction plan on the general stiffness and seismic response of the building suffering from the earthquake. A multistory RC building is modeled using ETABS software with different column shapes (square and rectangular), column sizes (different cross-sectional area at building height), and column orientations to determine the effect of each on the stiffness and seismic response of the building. . . The analytical results of each model were compared in terms of base movement, overburden displacement, layer deflection and time period. Keywords –Moment resisting System, Lateral Loads, ETABS, Seismic response etc

CHRISTIAN BURIALS ON THE TERRITORY OF CHERNIHIV «TRETIAK»

The cemetery of the Pokrova Church on the territory of Tretiak was archaeologically explored from 1995 to 2021, where cultural layers, buildings and pits of the 10th—13th and 17th—19th centuries, and also more than 350 ground burials of the 17th—19th centuries were discovered. During the research in 2021, a part of the buildings (constructions) of the second half of the 17th — the first half of the 18th centuries was discovered. At that time and before the fire of 1750, there was a production center of potters and blacksmiths here, as evidenced by ceramic and physical material from buildings 1, 2, 16, 19 and several household pits. Later, the cemetery of the Pokrova Church expanded to the vacated site. In several excavation areas it has been found a demarcation ditch (building 10) of the southwestern border of the cemetery, which could have been dug in the 1760s. While superimposing the location of building 10 on the plan of 1787 it almost coincides with the southwestern border of the cemetery. Digging a ditch along the borders of cemeteries and church lands was a characteristic feature of demarcation in Chernihiv in the 18th century. Between the graves in the southwestern part of the cemetery a light wooden (?) sacral structure could have stood. The rounded site, free of burials, with a diameter of up to 7.0 m was recorded in two excavation areas. Of the more than 350 discovered burials most were directed to the southwest with their heads, which could correspond to the orientation of the church building. A significant number of child and adolescent burials was recorded. Thus, during 1995 they accounted for more than 43 % of all burials, which is related to the epidemics of the 18th century. Also, children’s burials are grouped close to each other, which may be related to the family ties of the deceased, or to special places of such graves. Numismatic material and grave goods (body crosses, buttons) from burials and grave fillings indicate its functioning in the second half of the 17th — mid-19th centuries. After the cemetery ceased to be used, the planned direction of the street was built at the end of the 19th or the beginning of the 20th century, as evidenced by building 29 (19th—20th centuries), which destroyed several burials.

Optimal Positioning of Small Wind Turbines Into a Building Using On-Site Measurements and Computational Fluid Dynamic Simulation

Abstract Renewable energy solutions are essential for addressing several pressing issues, including climate change, the fossil fuels supply chain fragility and fuel price fluctuations. One promising technological solution is rooftop-mounted turbines into buildings. This study presents an evaluation of the potential for wind energy utilization on the rooftop of a 29 m tall building. The primary objective of this research is to develop a methodology that can effectively investigate the integration of small wind turbines (SWTs) into urban buildings, intending to promote energy sufficiency in urban areas. A robust framework has been developed that consists of seven steps. These steps include site selection, evaluating urban wind energy with computational fluid dynamics (CFD) simulation and on-site measurements, selecting an appropriate SWT, estimating the annual energy production (AEP), conducting an evaluation of the environmental impact, resilience, and economic analysis, and finally, installing the system. This straightforward yet reliable framework provides a comprehensive approach to assessing the viability of wind energy utilization in urban areas. The findings revealed that the most suitable location for installation had an estimated AEP of around 1030 kWh, leading to a reduction in emissions of 0.64 tCO2/y. Additionally, it was observed that the building's geometry and orientation significantly affected the wind flow, causing a substantial decrease in wind speed downstream. Selecting optimal sites and considering wind patterns are essential for maximizing energy generation in wind energy projects.

Multi-objective optimization for generative morphological design using energy and comfort models with a practical design of new rural community in China

In recent years, the development of new rural communities has emerged as a pivotal new trend in china, aimed at enhancing energy efficiency and residential comfort in rural regions. This study introduces a multi-objective optimization design framework for the morphological design of residential area, with a focus on performance objectives such as building energy use intensity, summer thermal comfort, and winter thermal comfort. A case study of a new rural community design project in Hongnan Village, Yancheng City, was conducted. Utilizing the Rhino-Grasshopper parametric platform, this study undertook parametric modeling, performance simulation, and multi-objective optimization to receive the Pareto-optimal solutions. ParetoResults indicate that in the Pareto-optimal morphology scheme for the Hongnan Village community, open spaces are predominantly located on the upwind side with respect to the prevailing summer winds of the site. The number of duplex houses is often 28, and the building orientations are predominantly aligned at 23°, mirroring the direction of the surrounding structures. There is a significant correlation between residential unit configuration, building spacing, and energy use intensity, with correlation coefficients of 0.53 and −0.43, respectively. This study would like to offer valuable insights into the energy-efficient design of new rural communities, thereby contributing to the creation of a more sustainable and habitable rural living environment.

Optimizing the dimensional ratio and orientation of residential buildings in the humid temperate climate to reduce energy consumption (Case: Rasht Iran)

Today, the increase in the number of cities and greenhouse gas increases has led to the intensification of global warming. The construction industry has had a significant impact on this crisis. Therefore, using passive solutions such as optimizing building proportions and proper orientation in any climate can significantly help reduce building energy consumption and greenhouse gases. The research aims to optimize the proportions of residential buildings and their orientation to minimize the building's energy consumption in the city of Rasht with a moderate climate. For this purpose, a three-story building with dimensions of 1:1 was selected, and the energy consumption of the building, including the load of cooling, heating, and lighting, was calculated in the north-south and east-west dimensions up to the ratio of 1–10. This research has used validated software to calculate energy consumption. Then, the most optimal mode was selected in terms of proportionality; the energy consumption of the building with a different orientation compared to the geographical north was calculated for each degree up to 360°. The results showed that the energy consumption of the building with a ratio of 1:4 with east-west elongation was 155.29 kWh/m2, which has the lowest energy consumption compared to other modes and is also compatible with the construction and building industry. Also, the building with zero-degree orientation to the geographic north and east-west elongation has the lowest carbon dioxide production and annual energy consumption, which are 2107 kg/m2 and 146.28 kWh/m2, respectively. By using two primary parameters, i.e., building orientation and aspect ratio, this research presents a valid innovation in optimizing the energy consumption of buildings. This research is focused on the detailed analysis of the environmental performance of a building in Rasht climate and determining the best form and orientation to reduce energy consumption and environmental efficiency.

Influence of building orientation and thermal mass configuration on the prediction of Natural Ventilation Potential (NVP) of various climates of India.

Natural ventilation potential (NVP) of a climate is a theoretical basis, and it gains importance due to the promising need for building energy conservation while conceding required thermal comfort conditions. A modified NVP analytical model is proposed by considering parameters involved in the earlier models (Yang et al., Build Environ 40:738-746, 2005; Luo et al., Build Environ 42:2289-2298, 2007). The effect of the dynamic thermal behavior of the wall/roof and building orientation on the indoor air temperature has been evaluated. The analytical model is applied to 11 major cities of India that belong to composite, hot-dry, temperate, and warm-humid climates. Five different envelope configurations are analyzed to envisage the NVP of concern climate (ED-I to ED-V). The results show that the effect of dynamic thermal response factors on the NVP is significant, and optimization of thermal response factors in addition to the U-value is mandatory. The impact of wind frequency on the selection of building orientation is substantial since it influences the total heat gained by the building envelope. Moreover, it is perceived that the optimum building orientation is independent of the climate and weather conditions. ED-II and ED-III are energy-efficient envelopes for composite, temperate, warm-humid, and hot-dry climates. The results revealed that the Mumbai climate has the highest NVP of 66% while the building is oriented in an E-W direction, and the lowest is observed for Jodhpur, i.e., 44% of the year when the building is in the NE-SW direction. The model helps the building architectural designers envisage the true NVP and assess the suitability of the building for natural ventilation.

A new test section made via additive manufacturing to perform local heat flux measurements

Recent advancements in the field of additive manufacturing have enabled the realization of products that were previously almost unattainable. In the field of heat transfer, the production of heat exchangers through additive manufacturing is promising because it allows for the creation of more compact heat exchangers that can be tailored to specific requirements with optimized and complex geometries. However, also heat transfer devices that must be specifically realized for heat transfer research purposes can benefit from the characteristics of the additive manufacturing technology. This paper presents an innovative test section created through additive manufacturing technology with the aim to investigate two-phase heat transfer of refrigerants inside a 2.9 mm internal diameter channel. Water is used as a secondary fluid to reject/extract the heat. As a first step, a CFD analysis was performed to design a special geometry for the test section allowing a local measurement of the heat transfer coefficient along the channel. The test section was realized with the DMLS (Direct Metal Laser Sintering) technology using the AlSi10Mg alloy. Despite the benefits introduced by this manufacturing process, DMLS technology can lead to anisotropy in the thermal conductivity of the test section material. Thus, cylindrical samples were produced by DMLS with different building orientations to perform specific measurements of the thermal conductivity by using the Hot Disk technique. Preliminary local heat transfer coefficients were measured with refrigerant R1234ze(E) during condensation at 40 °C saturation temperature and mass flux 150 - 200 kg m−2 s−1. Experimental heat transfer results are compared against predictions obtained from a correlation available in the literature.

How Teachers Contribute to the Sustainability of the University Brand: Evidence from China

A brand strategy is a powerful guarantee for a university to enhance its reputation and sustainable development. An internal brand is the foundation of a university brand. Based on three variables—internal market orientation, teachers’ organizational identity, and teachers’ brand support behavior, a research model is constructed on a university’s internal brand formation mechanisms. To summarize how teachers support the university’s internal brand building, we analyzed the relationship between the three variables. This study used a three-stage sampling survey method to distribute 500 questionnaires and recovered 419 valid samples. The data from the valid questionnaires were statistically analyzed using two software programs—SPSS 24.0 and Mplus 7.2. This survey and analysis found that the three internal market orientation dimensions (internal information collection, internal communication, and feedback) are significantly positively correlated with teachers’ organizational identity and brand support behavior. Teachers’ organizational identity is not only significantly positively correlated with brand support behavior, but also mediates the relationship between the three dimensions of internal market orientation and brand support behavior. Universities should pay attention to the key roles of teachers in brand building and regard internal market orientation as an important tool for internal brand building.

Energy efficiency in architecture: Strategies and technologies

Energy efficiency in architecture is a critical consideration in the design and construction of buildings, aiming to reduce energy consumption and minimize environmental impact. This abstract explores various strategies and technologies that can be implemented to enhance energy efficiency in architecture. The importance of energy efficiency in architecture lies in its potential to reduce greenhouse gas emissions, lower energy costs, and create healthier indoor environments. Achieving energy efficiency in architecture involves a combination of passive design strategies, such as orientation, shading, and natural ventilation, as well as active technologies, including high-performance insulation, energy-efficient lighting, and renewable energy systems. Passive design strategies are fundamental to energy-efficient architecture, utilizing the natural elements of sunlight, shade, and airflow to minimize the need for mechanical heating, cooling, and lighting. Proper building orientation, effective shading devices, and strategic placement of windows and openings can maximize natural light and ventilation, reducing the reliance on artificial lighting and mechanical ventilation systems. In addition to passive design strategies, active technologies play a crucial role in enhancing energy efficiency in architecture. High-performance insulation materials, such as aerogel and vacuum insulation panels, can significantly reduce heat loss and gain through building envelopes, improving thermal comfort and reducing energy consumption. Energy-efficient lighting systems, such as light-emitting diodes (LEDs) and daylight harvesting systems, can reduce electricity usage for lighting, while renewable energy systems, such as solar photovoltaic panels and wind turbines, can generate clean energy on-site, further reducing reliance on fossil fuels. Overall, energy efficiency in architecture requires a holistic approach that considers both passive design strategies and active technologies. By incorporating these strategies and technologies into building design and construction, architects and designers can create buildings that are not only environmentally sustainable but also comfortable, healthy, and cost-effective for occupants.

Significance of Building Orientation of Institutional Buildings with Vernacular Elements: A Mathematical Analysis

Significance of Building Orientation of Institutional Buildings with Vernacular Elements: A Mathematical Analysis

Research on Multi-Objective Optimization Design of University Student Center in China Based on Low Energy Consumption and Thermal Comfort

Ensuring optimal building performance is vital for enhancing student activity comfort and fostering energy-saving initiatives toward low-carbon objectives. This paper focuses on university student centers in China, aiming to diminish building energy consumption while enhancing indoor thermal comfort. Parametric modeling of typical cases is executed using the Grasshopper 1.0.0007 software package, and the simulation of building energy consumption and indoor thermal comfort relies on the Ladybug and Honeybee plug-in. Employing a multi-objective optimization design method and the Octopus multi-objective optimization algorithm, this study integrates numerical simulations and on-site surveys to analyze how factors like building form, orientation, envelope structure, and others impact the indoor and outdoor environment. A comprehensive optimization design approach is implemented for the building’s exterior components, including the walls, windows, roof, and shading system. After conducting a comparative analysis of the annual comprehensive energy consumption and indoor thermal comfort before and after the optimization plan, it is determined that implementing these measures reduces the annual comprehensive energy consumption of the building under study by 58.8% and extends the duration of indoor thermal comfort by 53.0%. This study presents a practical optimization design methodology for university student center architecture in China, aiding architects in decision making and advocating for energy-efficient building designs.

A Study of Consumer Behavior: Preferences for Vernacular and Modern Architecture in Hot and Dry Indian Regions

Global warming and energy shortages have become major global problems, with the building industry being a major energy consumer. Vernacular architecture, which has been developed over generations, is more adaptable to changing environments, including building orientation, form, spacing, layout orientation, and climatic features. This approach considers the home's aesthetics, physical characteristics, and social purposes, resulting in unique designs in hot, arid climate locations. Examples include Rajasthan and Gujarat, which use locally produced sandstone and lime, Jaali screens, and courtyard designs. Modern architecture in these areas integrates advanced materials, shading technologies, passive cooling techniques, and sustainable energy systems. This study aims to examine vernacularism's climatic adaptation, focusing on climatic adaptive technology and its potential in house shape, construction method, building components, and materials. The findings have implications for architects, urban planners, and policymakers seeking to create resilient and sustainable built environments that respect cultural identity while embracing innovation and local knowledge. The essay will examine 23 previous studies and the work of architects who have adapted traditional and vernacular architecture to create a new identity in architecture, showcasing the blending of traditional and vernacular architectural knowledge with contemporary technology and materials.

Influence of Proteins and Building Direction on the Corrosion and Tribocorrosion of CoCrMo Fabricated by Laser Powder Bed Fusion.

Cobalt-chromium-molybdenum (CoCrMo) alloys are common wear-exposed biomedical alloys and are manufactured in multiple ways, increasingly using additive manufacturing processes such as laser powder bed fusion (LPBF). Here, we investigate the effect of proteins and the manufacturing process (wrought vs LPBF) and building orientation (LPBF-XY and XZ) on the corrosion, metal release, tribocorrosion, and surface oxide composition by means of electrochemical, mechanical, microscopic, diffractive, and spectroscopic methods. The study was conducted at pH 7.3 in 5 g/L NaCl and 5 mM 2-(N-morpholino) ethanesulfonic acid (MES) buffer, which was found to be necessary to avoid metal phosphate and metal-protein aggregate precipitation. The effect of 10 g/L bovine serum albumin (BSA) and 2.5 g/L fibrinogen (Fbn) was studied. BSA and Fbn strongly enhanced the release of Co, Cr, and Mo and slightly enhanced the corrosion (still in the passive domain) for all CoCrMo alloys and most for LPBF-XZ, followed by LPBF-XY and the wrought CoCrMo. BSA and Fbn, most pronounced when combined, significantly decreased the coefficient of friction due to lubrication, the wear track width and severity of the wear mechanism, and the tribocorrosion for all alloys, with no clear effect of the manufacturing type. The wear track area was significantly more oxidized than the area outside of the wear track. In the reference solution without proteins, a strong Mo oxidation in the wear track surface oxide was indicative of a pH decrease and cell separation of the anodic and cathodic areas. This effect was absent in the presence of the proteins.