Mihai Alin Petre
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Mihai Alin Petre has a total of 12 co-authors. Here are the top co-authors by number of shared publications:
- Dana Chitimus
Faculty of Engineering, Vasile Alecsandri University of Bacau, 157 Calea Mărăşeşti, 600115 Bacau, Romania
2 shared publications - Emilian Mosnegutu
Faculty of Engineering, “Vasile Alecsandri” University of Bacău, 600115 Bacău, Romania
2 shared publications - Ovidiu Bontaș
Faculty of Economics, Law and Administrative Sciences, George Bacovia University in Bacau, Pictor Theodor Aman Street, No. 96, 600164 Bacau, Romania
2 shared publications - Claudia Tomozei
Department of Environmental Engineering, Mechanical Engineering and Agritourism, Faculty of Engineering, “Vasile Alecsandri” University of Bacău, 600115 Bacău, Romania
1 shared publication - Diana Mirilă
Department of Environmental Engineering, Mechanical Engineering and Agritourism, Faculty of Engineering, “Vasile Alecsandri” University of Bacău, 600115 Bacău, Romania
1 shared publication - Grzegorz Przydatek
Department of Engineering Science, University of Applied Sciences in Nowy Sacz, Zamenhofa 1a, 33-300 Nowy Sacz, Poland
1 shared publication
Latest Publications
- Open Access
- 23 July 2026
- Published by MDPI AG in Sustainability
- Vol. 18 (15) , 7510
Seasonality of Municipal Waste Generation: Evidence from a County-Level Case Study in Romania
Municipal waste management is a major challenge for sustainable development, as it is strongly influenced by socioeconomic dynamics, seasonality, and the local institutional framework. In this context, this study aims to analyze the seasonality and structure of municipal waste streams at the county level, using monthly operational data provided by the Integrated Waste Management System in Bacău County, Romania. The analysis is based on descriptive statistical methods, seasonal indicators, nonparametric statistical tests, and exploratory multivariate techniques. Seasonal variability was assessed by calculating monthly and seasonal indices, and differences between seasons were tested using the Kruskal–Wallis test. Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA) were used to explore the relationships between waste generation patterns and selected temporal, socioeconomic, calendar, and climatic factors. The results of the analyses reveal a pronounced seasonal pattern, characterized by minimum waste generation during the cold season and maximum generation during the summer months. Residual waste dominates the overall composition throughout the year, while the share of recyclable waste remains low, and the fractional composition remains relatively stable across seasons. Statistical tests confirm the existence of significant seasonal differences between contrasting periods, and multivariate analyses indicate that municipal waste variability is more closely associated with temporal factors and with the socioeconomic indicator considered in this study (average monthly net wage), while climatic variables show weaker associations. From an operational perspective, the results highlight the need to seasonally adjust municipal waste collection, transportation, and treatment capacities, particularly during peak generation periods. By providing a detailed case study at the county level, based on real data, the research contributes to the literature on the seasonality of municipal waste and supports evidence-based management decisions at the local and regional levels, in line with European policy objectives.
- 23 July 2026
- Published by MDPI AG in Sustainability
- Vol. 18 (15) , 7510
Open AccessSeasonality of Municipal Waste Generation: Evidence from a County-Level Case Study in Romania
Municipal waste management is a major challenge for sustainable development, as it is strongly influenced by socioeconomic dynamics, seasonality, and the local institutional framework. In this context, this study aims to analyze the seasonality and structure of municipal waste streams at the county level, using monthly operational data provided by the Integrated Waste Management System in Bacău County, Romania. The analysis is based on descriptive statistical methods, seasonal indicators, nonparametric statistical tests, and exploratory multivariate techniques. Seasonal variability was assessed by calculating monthly and seasonal indices, and differences between seasons were tested using the Kruskal–Wallis test. Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA) were used to explore the relationships between waste generation patterns and selected temporal, socioeconomic, calendar, and climatic factors. The results of the analyses reveal a pronounced seasonal pattern, characterized by minimum waste generation during the cold season and maximum generation during the summer months. Residual waste dominates the overall composition throughout the year, while the share of recyclable waste remains low, and the fractional composition remains relatively stable across seasons. Statistical tests confirm the existence of significant seasonal differences between contrasting periods, and multivariate analyses indicate that municipal waste variability is more closely associated with temporal factors and with the socioeconomic indicator considered in this study (average monthly net wage), while climatic variables show weaker associations. From an operational perspective, the results highlight the need to seasonally adjust municipal waste collection, transportation, and treatment capacities, particularly during peak generation periods. By providing a detailed case study at the county level, based on real data, the research contributes to the literature on the seasonality of municipal waste and supports evidence-based management decisions at the local and regional levels, in line with European policy objectives.
- Open Access
- 16 June 2026
- Published by MDPI AG in Applied Sciences
- Vol. 16 (12) , 6101
Generalized Kinematic Modeling of a Flat Pressing Mechanism with Adjustable Geometric Parameterization for Cheese Production
This paper develops a generalized kinematic model for a lever-link-type flat pressing mechanism used in food processing applications for compacting the coagulate. The study aims to highlight the influence of the geometric parameter that defines the position of the intermediate coupling on the driving element on the mechanism’s configuration and on the main kinematic variables of the active pressing point. Under an idealized representation—assuming rigid links, perfect joints, and a vertical constraint acting on the active element—general analytical expressions for displacement, velocity, and acceleration were established using the vector-kinematic method. The results show that modifying the position of the intermediate coupling produces nonlinear variations in the length of the connecting element, its spatial orientation, and the vertical motion of the active point. Increased values of this parameter are associated with a greater effective stroke and higher vertical velocities toward the end of the motion, while the calculated accelerations remain relatively low, indicating a smooth kinematic evolution. The model establishes analytical relationships that describe the influence of geometric parameters on the kinematic behavior of the mechanism and can serve as a basis for further developments involving dynamic analysis and experimental validation.
- 16 June 2026
- Published by MDPI AG in Applied Sciences
- Vol. 16 (12) , 6101
Open AccessGeneralized Kinematic Modeling of a Flat Pressing Mechanism with Adjustable Geometric Parameterization for Cheese Production
This paper develops a generalized kinematic model for a lever-link-type flat pressing mechanism used in food processing applications for compacting the coagulate. The study aims to highlight the influence of the geometric parameter that defines the position of the intermediate coupling on the driving element on the mechanism’s configuration and on the main kinematic variables of the active pressing point. Under an idealized representation—assuming rigid links, perfect joints, and a vertical constraint acting on the active element—general analytical expressions for displacement, velocity, and acceleration were established using the vector-kinematic method. The results show that modifying the position of the intermediate coupling produces nonlinear variations in the length of the connecting element, its spatial orientation, and the vertical motion of the active point. Increased values of this parameter are associated with a greater effective stroke and higher vertical velocities toward the end of the motion, while the calculated accelerations remain relatively low, indicating a smooth kinematic evolution. The model establishes analytical relationships that describe the influence of geometric parameters on the kinematic behavior of the mechanism and can serve as a basis for further developments involving dynamic analysis and experimental validation.