Engineering Characteristics Research Articles

Characteristic Reform of the Curriculum System of Toy Design and Manufacturing Major in Applied Colleges and Universities

Through extensive and in-depth research and demonstration, this study has clarified the professional positioning and talent training objectives of toy design and manufacturing in application-oriented colleges and universities, created professional curriculum groups according to the curriculum structure required by the core competence of vocational posts, built high-quality professional core courses, training packages, and standard curriculum systems around the core competence of posts, and introduced practical projects combined with engineering characteristics. Focusing on the training objectives of high-quality technical skills to improve students’ practical skills, the formation of “teaching-learning-doing” integration of a characteristic course system has achieved remarkable results.

Discussion on Construction Technology of Subway Tunnel Expansion under Bridge Foundation

As the urban populations grow, the number and size of subway construction projects are increasing while also meeting higher construction standards. So, subway construction projects must have a better understanding of construction technology. This article focuses on the construction technology of the subway tunnel expansion under the bridge foundation. By analyzing the engineering characteristics of the bridge foundation and using a project as an example, this article provides a detailed discussion of the construction process of tunnel expansion under a bridge foundation. This article aims to serve as a reference for subway tunnel construction in China to ensure the key points of construction technology are understood, thus improving construction quality and laying a solid technical foundation for the sustainable development of urban rail engineering.

Influence of Enzyme Induced Carbonate Precipitation (EICP) on the Engineering Characteristics of Expansive soil

Influence of Enzyme Induced Carbonate Precipitation (EICP) on the Engineering Characteristics of Expansive soil

The role of intrinsic soil properties in the compressive strength and volume change behavior of unstabilized earth mortars

Despite the growing interest in earthen construction, there is critical lack of reliable experimental data on the soil properties which mostly affect the engineering characteristics of the dried building material. Therefore, the main objective of this research was to explore the influence of some of these properties, namely clay fraction content, Specific Surface Area (SSA), Cation Exchange Capacity (CEC), chemical and mineralogical composition and various forms of iron and calcium carbonate on earth mortars. The initial trigger for this research was the extraordinary compressive strength of four earth mortars prepared with different soils. So, these four soils, along with seven others from previous research, were thoroughly examined using soil science techniques to investigate the link between soil properties and compressive strength and linear shrinkage of earth mortars. A relationship between the compressive strength to CEC ratio and dry density was found, highlighting the decisive role of clay activity as expressed by CEC, in earthen materials properties. According to linear regression and dominance analysis, the strongest correlation was exhibited by SSA followed by CEC, demonstrating that compressive strength is largely dependent on these two properties. Less strong correlation was found for clay fraction content, while poorly ordered/amorphous iron oxides were found to correlate with strength and shrinkage, but their contribution requires further research. Regarding the mineralogical properties, it was found that the mortars that achieved the highest strengths contained poorly crystalline smectite clays. Finally, even significant differences in soil chemical composition did not necessarily lead to different mortar properties.

Correlation of Geotechnical and Mineralogical Properties of Lithomargic Clays in Uttara Kannada Region of South India

The present study explores the intricate relationship between the geotechnical and mineralogical properties of lithomargic clays in the Uttara Kannada region of south India. Lithomargic clays, characterized by their unique composition of clay minerals and calcareous content, play a crucial role in the geotechnical behavior of soils. The study aims to provide a comprehensive understanding of the interplay between the mineralogical composition and engineering characteristics of lithomargic clays, shedding light on their suitability for various construction and infrastructure projects. The research methodology involves a systematic analysis of lithomargic clay samples collected from different locations in the Uttara Kannada region. Geotechnical investigations, including particle size distribution, Atterberg limits, unconfined compressive strength (UCS), California bearing ratio (CBR) and triaxial tests, are conducted to assess the engineering properties of the clays. Concurrently, mineralogical analyses, such as X-ray diffraction (XRD) and scanning electron microscopy (SEM), are employed to identify and quantify the clay mineral constituents within the samples. The findings of this study reveal correlations between specific mineralogical features and geotechnical behaviors of lithomargic clays. Understanding these relationships is crucial for predicting the response of these clays to different engineering applications, including slope stability, foundation design and embankment construction. The research contributes valuable insights to the scientific and engineering communities, aiding in the informed utilization of lithomargic clays in geotechnical projects in the Uttara Kannada region and beyond. The outcomes of this investigation, such as the correlation of geotechnical properties with the variation in minerals in various sample locations, enhance our understanding of the complex nature of lithomargic clays, providing a foundation for more sustainable and effective engineering practices in the geologically diverse landscapes of south India.

Technical system for mud loss analysis and diagnosis in drilling engineering to prevent reservoir damage

AbstractMud loss is the most serious formation damage in oil and gas well drilling engineering and is an unsolved technical problem. To prevent mud loss, it is necessary to accurately understand and identify three key factors of mud loss, including the location of the loss, the time of occurrence, and the severity of the loss. The diagnosis of mud loss is a prerequisite for the proper formulation of mud loss control techniques. It emphasizes the integration of predrilling, drilling, and postanalysis information to describe and characterize loss zones and predict potential loss zones. On the basis of the theory of engineering fuzzy mathematics, we develop a mathematical model for loss probability evaluation that combines logging anomaly features and engineering data to predict the location of losses from drilling mud and develop a loss formation identification method. The study of hydraulic fracture deformation through stress‐sensitive experiments and numerical simulations can predict the deformation and severity of loss channels, which can help optimize the loss of circulating material by adding drilling fluid. Loss pressure models have been developed based on mud loss mechanisms, and loss pressure for hydraulic fracture creation, connection, and extension has been studied to help identify loss mechanisms and types. Mud losses can be identified by unusual engineering characteristics, including sudden changes in drilling times, cuttings, and mud logging. Real‐time logging parameters can be used to monitor the loss process and hence predict the loss trend. The framework of loss diagnosis techniques is established, which helps in successful mud loss controlling.

LITEC: An experimental facility for the validation of the IFMIF-DONES Impurity Control System

The Impurity Control System (ICS) of IFMIF-DONES is devoted to assuring lithium purity. After its circulation through the target, some undesired products will contaminate the lithium: deuterium, hydrogen, tritium, and beryllium. In addition, due to the high velocity of the flowing lithium, the target assembly, piping system, and other auxiliaries are subjected to a significant corrosion rate, thus leading also to the presence of metallic impurities in the liquid lithium (iron, nickel, molybdenum…). Finally, nitrogen, oxygen, and carbon will also be present.These impurities may compromise the operation of the facility: they may enhance the erosion/corrosion effect, shortening the operational life of equipment; they may be activated having an important impact on safety strategy, maintenance, and operational procedures; finally, the erosion caused to the target nozzle may produce fluid perturbations affecting to different aspects: fluid-dynamics, cavitation, and thermo-mechanics.The ICS extracts a fraction of the liquid from the DONES main lithium loop to be purified in dedicated traps, to maintain impurities below permissible levels to achieve the required safety and operational conditions.The validation of the ICS at a relevant circuit size will be performed in a new experimental facility called LITEC (The LIthium TEchnologies CIEMAT loop). It consists of a forced circulation lithium circuit. An electromagnetic pump provides a wide operational range for testing all the purification systems envisioned in the ICS. It has four test sections, where trap prototypes will be installed. An injection system also foresees the possibility of introducing impurities to simulate realistic IFMIF-DONES conditions. Finally, a specific branch will monitor online and offline the impurities.LITEC will contribute significantly to clarifying key aspects of the design and operation of IFMIF-DONES lithium systems and will be a reference facility for research activities in lithium technologies. In this work, its engineering design, operational parameters, and characteristics are presented.

Research on the deformation and settlement characteristics of tunnel lining structures based on distributed fibre optic sensing technology

To study the deformation and settlement characteristics of tunnel lining structures, a tunnel lining structure model was designed based on distributed fibre optic sensing technology. Compared to the cylindrical model used in traditional tunnel lining structural model experiments, in this study, a reinforced concrete structural model was adopted, which can embed fibre optics in the structure, which is closer to actual tunnel engineering conditions. Central and symmetrical concentrated loading experiments were carried out with a simply supported reaction frame. The results of the distributed fibre optic monitoring were compared and analysed with those of traditional monitoring methods to verify the reliability of the distributed fibre optic monitoring results. The numerical simulations of the experiments were conducted by using finite element analysis. By comparing and analysing the simulation and experimental results, the correctness of the simulation calculation results were verified. On this basis, the impact of concrete strength, circumferential reinforcement spacing, and longitudinal reinforcement strength on the deformation and settlement of the tunnel lining structure were analysed. The results show that the hierarchical effect of the strain monitoring results obtained by the embedded fibre optic is more obvious, indicating that the radial monitoring effect of the embedded fibre optic on the tunnel structure is less affected by other external factors than the strain gauge, and the monitoring data are more accurate and effective, with good engineering characteristics. Improving the concrete strength, appropriate circumferential reinforcement spacing, and increasing the longitudinal reinforcement strength can effectively enhance the ability of the structure to resist deformation at the stress location. These factors play a significant role in improving the overall resistance to deformation and safety of the structure. The research results provide a theoretical basis and experimental data for the application of distributed fibre optics in monitoring the deformation and settlement of tunnel lining structures.

Geospatial-based decision support system for prioritizing road segments for maintenance and rehabilitation

Given the growing demand for moving goods and people and the escalating number of vehicles on highways, issues related to road safety have become common concerns. Additionally, the aging of the road infrastructure and the intensification of climatic change effects reinforce the problem of road pavement serviceability. However, accessing funds for road maintenance and having the autonomy for pure technical decisions remain significant challenges for transport authorities. Thus, this paper addresses developing a geospatial-based systematic process for prioritizing highway segment candidates for maintenance and rehabilitation. The investigation was designed to facilitate the decision-making process for the state transportation authority to allocate funds over the 20.315 km of major highways in Minas Gerais, Brazil. The method consisted of ranking the highway segments regarding the geographic context to which each segment belongs, as well as the operational characteristics of the highways. The approach meets the United Nations Sustainable Development Goals by considering socio-economic and demographic perspectives along with other traditional engineering characteristics such as the available transport infrastructure, the traffic volume, the highway capacity, the pavement serviceability and the potential for deterioration, the condition of the surface drainage, and weather-related data. Transportation practitioners with expertise in pavement maintenance and rehabilitation and transportation managers contributed to the development by weighting the factors according to the best possible technical judgment regarding prioritizing funds. The GIS-oriented Delphi framework resulted in a priority index. The index allowed the elaboration of a ranking of priorities, which is vital information regarding public policies and the transparent use of public money for road maintenance and rehabilitation within the State of Minas Gerais. The model is robust and outputs geoinformation and tabular data to feed the decision-making process in an organized and transparent manner. Therefore, the core methodology can be easily transferable to other jurisdictions.

Engineering characteristics and classification based on JSCE in portal zones of Tunnel A, Yogyakarta - Bawen toll road, Magelang District, Central Java Province

The Yogyakarta - Bawen Twin Tunnels emerge as an environmentally conscious solution for Toll Road Phase 5 (STA 6+300 to STA 27+640), addressing the ecological impact of open-cut excavation, which demands a staggering 1,209,056 m3. Open-cut excavation not only incurs substantial operational costs, encompassing disposal and treatment, but also poses threats like groundwater loss and erosion-induced landslides. The twin tunnels mitigate these concerns by limiting excavation volume to a mere 1/8, averting substantial costs and ecological damage. Challenges persist, particularly in the portal zones of Tunnel A, characterized by a shallow overburden and exposure to weathering. The Japan Society of Civil Engineers (JSCE) Method proves instrumental in assessing ground quality in these zones, considering factors such as competence, unit weight, unconfined compressive strength, depth of cover, elastic wave velocity, boring core condition, and geological characteristics. The analysis reveals a ground quality classification of E for the portal zone in Tunnel A, emphasizing the necessity for a meticulous design approach that incorporates analytical methodologies alongside empirical considerations. Notably, the unconfined compressive strength ranges from 32.89 to 472.88 kPa, and the elastic wave velocity spans 402 to 2000 meters/sec, reinforcing the imperative for a comprehensive and analytically informed design for excavation and support systems.

Comparison of engineering properties of organic and inorganic coconut: Implications on the design of coir fiber extraction machine

AbstractCoconut husk is widely used as a source of natural fibers in the tropics. Dehusking and fiber extraction are some of the important unit operations in coir manufacturing. For the development of an efficient and economically viable fiber extraction machine, the engineering properties of conventional and organically grown coconuts were evaluated. Selected engineering properties of whole coconut were investigated. The average true density and bulk density were in the range of 414.63 ± 111.85 to 529.28 ± 123.02 and 161.66 ± 24.41 to 212.23 ± 18.96 kg/m3, respectively. Along with whole coconuts, engineering properties of husk (weight, moisture content, and husk thickness), shell (weight, thickness, bulk density, and moisture content), and kernel parameters (weight, thickness, and moisture content) were also evaluated. The application of organic treatment (T4) exhibited substantial impacts, leading to a higher coconut weight (1.354 kg) as compared to conventional practices (T5), and increased dimensions (158.599 mm diameter and 205.000 mm height) and improved bulk density (190.97 kg/m3) in comparison to other organic treatments. In deshelled coconuts, T4 showcased a higher shell weight (175.667 g) and shell thickness (4.767 mm). The kernel parameters of T4 displayed enhancements, featuring a kernel weight of 314.334 g and a thickness of 11.774 mm. Although the study could not find any correlation between the farming practices and engineering characteristics of coconut fruit, the data presented herein could be utilized for the design and improvisation of efficient fiber extraction machines.Practical ApplicationsDeveloping countries are exploring the possibilities of implementation of organic farming for the production of agro products. Implementation of organic farming not only affects yield but may also change the engineering properties and nutritional characteristics of products. Understanding the engineering properties of food products grown under organic conditions is important for the modification of the design in the existing machineries and/or development of new food processing equipments.

Optimal blade design of a spherical water turbine

The use of in-pipe water turbines for small-scale energy harvesting from pipe networks is starting to gain popularity. However, limited research have looked into whether adding helical blade turbines would be feasible with a spherical lift base in a water supply network. Three Naca airfoil (0012, 2412, 4412) were used to study the ratio of lift to drag force for each wing, Benefit from Qblade and ANSYS CFX software, and choosing the wing that has the highest ratio. The study investigates the feasibility of improving the design of spherical turbine blades by increasing the ratio of lift to drag. The results show that the Naca airfoil 4412 had the highest lift-to-drag force ratio, which was equal to 19.95. Through the improvement process for the Naca 4412 airfoil, the increase was made by 13.34 %, and the lift-to-drag ratio became 22.61. The study also dealt with the design of a turbine through the improved airfoil. 230 mm. It has the engineering characteristics of the number of helical blades, 5, The measurement of the blade's length chord 15 % of the turbine diameter, and the Angle of Attack, 9.5°

QFD-based hybrid neutrosophic MCDM approach with Six Sigma evaluation for sustainable product design in Industry 4.0

PurposeThe concept of sustainable product design (SPD) is gaining significant attention in recent research. However, due to inherent uncertainties associated with new product development and incorporation of multiple qualitative and quantitative criteria; SPD is a complex and challenging task. The purpose of this paper is to introduce a novel approach by integrating quality function deployment (QFD), multi-criteria decision making (MCDM) technique and Six Sigma evaluation for facilitating SPD in the context of Industry 4.0.Design/methodology/approachThe customer requirements are evaluated through the neutrosophic-decision-making trial and evaluation laboratory-analytic network process (DEMATEL-ANP)-based approach followed by utilizing QFD matrix to estimate the weights of the engineering characteristics (EC). The Six Sigma method is then employed to evaluate the alternatives’ design based on the ECs’ values.FindingsThe effectiveness of the suggested approach is illustrated through an example. The result indicates that utilization of the neutrosophic MCDM technique with integration of Six Sigma methodology provides a simple, effective and computationally inexpensive method for SPD.Practical implicationsThe proposed approach is helpful in upstream evaluation of the product design with limited experimental/numerical data, maintaining a strong competitive position in the market and enhancing customer satisfaction.Originality/valueThis work provides a novel approach to objectively quantify performance of SPD under the paradigm of Industry 4.0 using the integration of QFD-based hybrid MCDM with Six Sigma method.

Engineering Characteristics at Early Age of Cemented Silica Fume Paste for Peat Compaction Grouting

Introduction Cemented Silica Fume Paste (CSFP) is currently being investigated for compaction grouting material to improve peat ground engineering properties. The CSFP is made in the laboratory using a proportional mixture of silica fume, cement binder, and tap water. The silica fume material is a byproduct of the metal processing industry, which critically requires a better alternative utilization in the near future in order to cut the storage cost and minimize the environmental impact. Aims This paper aims to present preliminary results on the engineering characteristics of CSFP at an early age through a series of rheological and strength tests. A general observation of the physical properties and microstructure of CSFP is also presented. Methods The CSFP specimens with cement binder range from 0% to 30% with the increment of 5% and Water-to-Solid (W/S) ratio ranges from 0.8, 0.9 and 1.0 were prepared and tested. A series of rheology test and Unconfined Compressive Strength (UCS) tests were carried out for the CSFP specimens at an early age. The data were analyzed statistically and mathematical formulation is presented. Results The results indicate that CSFP mixtures behave as pseudoplastic or shear thinning fluid, where the shear stress and viscosity depend highly on the shear rates. The higher the shear rates, the higher the shear stress and the lower the viscosity. Curve fitting showed that the best relationship between shear stress and shear rate is the power law function (Ostwald–de Waele relationship). Statistical parameters, k, n, R2 of the power law functions are reported. There was no good correlation found between the power law function statistical parameters and the cement content. The UCS tests showed that the shear strength increases with the amount of cement content. The actual W/S reduces as the cement content increases, which is attributed to the cement hydration. Conclusion The CSFP mixtures were found to be a pseudoplastic or shear thinning fluid at an early age that provides an advantage during the material injection on the ground. Cemented Silica Fume Paste can be potentially used as compaction grout to improve peat. The current findings provide a better understanding of the CSFP characteristics and to better design CSFP to be injected into peat ground.

Structural Design and Mechanism Analysis of Palm Oil Harvester

Plantation of palm oil in Malaysia is one of the top contributor of the economy. In order to match the supply of palm oil fruit with demand, different harvesting methods are used such as the existing motorized cutter. Although it can reduce the harvesting time and the number of labors involved in harvesting process, the tight arrangement of oil palm fronds and long manually adjusted harvesting pole may cause the inconvenient to the labors. Therefore, this project studies the design of a circular cutter and automatically adjusted telescopic pole with rotational mechanism. The concept development of harvester is based on the scientific study on the limitations, customer requirement and engineering characteristics of existing harvesters. It is followed with the selection of best design of harvester that can solve the problems that faced by labors in existing harvester. The analysis of rotational speed, deflection and bending moment for different components in the palm oil harvester. The design of harvester is done with the aid of CAD software in form of part detail design, orthographic view and exploded view. With the rotational cutting mechanism, the harvester can easily reach and harvest the oil palm fresh fruit bunches from the bottom of the bunches.

Induced electric field pasteurization of acidic fruit juices: Engineering characteristics, simulation model, microbiological analysis

The continuous-flow pasteurization apparatus was presented, and the electric field within orange juice was produced via an oscillating magnetic field at 50 kHz, causing the volumetric heating of the juice with initial conductivity of 6.85 mS/cm and 8.76 mS/cm. The process principle, especially numerical relationships between excitation voltage, magnetic field, induced electric field (IEF), induced current density, and temperature profile were elaborated. When applying a rectangular wave of the voltage at 50–1000 V, the waveforms of the magnetic field and IEF in the juice were sine-like and sawtooth waves, respectively. Through electromagnetic simulation, the model was established, which indicated the indirect heating of orange juice via oscillating magnetic field was feasible. As the magnetic field increased, the outlet temperature and induced current density in the juice was improved. Notably, the 4–5 logs CFU/ml inactivation effects on aerobic bacteria, yeast and mold in orange juice could be achieved at 65 °C for 60 s after the treatment.

Investigation of material composition, design, and performance of open-graded asphalt mixtures for semi-flexible pavement: A comprehensive experimental study

The primary goal of this study is the design and construction of semi-flexible pavement (SFP) mixture in accordance with the engineering and mechanical criteria. This study involves the use of a range of gradation curves, air void contents, cellulose and synthesized fibers, and neat and modified asphalt binders to prepare the open-graded asphalt (OGA) mixtures. To analyze the characteristics of these mixtures, a variety of test, namely binder drainage, semi-circular bending (SCB), Cantabro, wheel tracking, indirect tensile strength (ITS), and permeability tests were conducted. Additionally, to analyze the prepared grouting material, flexural strength, compressive strength, and fluidity tests were conducted. In the final stage, SFP was compared to HMA in terms of engineering characteristics and performance. According to the results, SFP was more resistant to skid, rutting, fire, and moisture damage, while HMA had a better performance in fracture tests, including SCB test. According to the results of the mechanical performance tests conducted on OGA mixtures, the highest and lowest values for air void content to achieve the highest mechanical performance level were 30%–35% and 25%, respectively. Also, based on the laboratory results, it was determined that the required void ratio for constructing OGA mixtures was 24%–26% based on the bitumen type and fibers amount in the mixture. Finally, SFP mixture can be regarded as a viable alternative to common pavements thanks to its high resistance to rutting and moisture damage, long freezing-thawing fatigue life, and adequate fire and skid resistance.

The Mechanism of Mineral Dissolution on the Development of Red-Bed Landslides in the Wudongde Reservoir Region

The Wudongde reservoir region exhibits a notable prevalence of landslides within the red-bed reservoir stratum. The red bed is a clastic sedimentary rock layer dominated by red continental deposits. It is mainly composed of sandstone, mudstone, and siltstone. The lithology is diverse and uneven. In this study, we delve into the impact of mineral dissolution on the development of red-bed landslides in the reservoir area by utilizing the Xiaochatou landslide as a representative case study. Considering the inherent susceptibility of red-bed formations to erosion, collapse, and softening when exposed to water, an investigation was conducted to examine the consequences of mineral dissolution on landslides occurring in these areas. We conducted a mineral analysis and an identification of rock samples from the Xiaochatou landslide site, revealing alternating layers of sandstone and mudstone. Sandstone and conglomerate specimens were immersed in deionized water, and advanced techniques such as scanning electron microscopy (SEM), ion chromatography (IC), and inductively coupled plasma (ICP) analysis were used to examine the effects of water immersion. We also employed the hydrogeochemical simulation software PHREEQC to understand the dissolution mechanism of gypsum during soaking. Our findings reveal that sandstone and conglomerates harbor a notable quantity of gypsum, which readily dissolves in water. Prolonged immersion leads to erosion cavities within the sandstone, thereby augmenting its permeability. The concentration of SO42− ions in the soaking solution emerges as the highest, followed by Ca2+ and Na+. The notable significance is the dissolution of gypsum, whose intricate mechanism is contingent upon diverse environmental conditions. Variations in ion concentration profoundly influence the saturation index (SI) value, with the pH value playing a crucial role in shifting the reaction equilibrium. Regarding the deformation mode of the landslide, it manifests as a combination of sliding compression and tension cracking. The fracture surface of the landslide assumes a step-like configuration. As the deformation progresses, the mudstone layer takes control over the sliding process, causing the sandstone to develop internal narrow-top and wide-bottom cracks, which propagate upward until the stability of the slope rock mass is compromised, resulting in its rupture. In this manuscript, we delve into the dissolution traits of red-bed soft rock in the Wudongde reservoir area, using a landslide case as a reference. We simulate this rock’s dissolution under environmental water influences, examining its interaction with diverse water types through rigorous experiments and simulations. This study’s importance lies in its potential to shed light on the crucial engineering characteristics of red-bed soft rock.

Enhancing the engineering properties of gypseous soils by adding the Anthan polymers

Large areas of soil in Iraq are formed up of gypsum soil. As a result, understanding the habits of this soil and its treatment approach is critical, because its current solution is to replace gypsum soil before beginning any building activity. This study used gypsum soil from Tikrit City, which has a gypsum concentration that is around 38%, and the goal of the study is to illustrate the impact of the polymer on the gypsum soil parameters. Simultaneously, researchers are investigating the beneficial effects of polymers on the behavior of gypsum soil. The percentages of the polymer additive (5%, 7.5%, 10%, 12.5%, and 15%) were weight percentages, while the soil tests were chemical, physical, and engineering. When the percentage of additive was increased from 0% to 15%, Soil engineering characteristics enhanced the collapse of the from 5.11 to 1.21, cohesion improved from (28.98 KN/m2) to (51.16 KN/m2), and angles of internal friction decreased from 33.190 to 38.850.

Enhancing Quality Function Deployment Through the Integration of Rough Set and Ordinal Priority Approach: A Case Study in Electric Vehicle Manufacturing

Quality function deployment (QFD) is a widely used technique for translating customer requirements (CRs) into engineering characteristics (ECs) in product or service design. However, existing improved QFD methods suffer from several limitations, such as relying on precise experts' assessments, subjectivity in aggregating evaluation information, and excessive external information and parameters, which may increase the the complexity of QFD and hinder its practical application. To address these challenges, this article presents a novel rough set theory-based ordinal priority approach (OPA) methodology (OPA-R) to enhance traditional QFD. The proposed approach uses ordinal priorities provided by experts to evaluate CRs and the interrelations between CRs and ECs, eliminating the need for fuzzy linguistic variables, fuzzy numbers, or pairwise comparison matrices. Moreover, rough set theory is employed to aggregate the assessments of experts to generate rough ordinal priorities. An extended optimization model of traditional OPA is then developed to determine the ranking of CRs and ECs. The validity and advantages of the proposed model are demonstrated through a case study in the manufacturing of electric vehicles. The OPA-R method can simplify the process of QFD, reduce the reliance on precise assessments from experts, and avoid excessive external information and additional parameters.