Quantitative Research on Contribution Degree of Vibration Affecting Factors of Vehicle Suspension System Based on Robustness Analysis

2020 ◽  
Vol 11 (1) ◽  
pp. 71-86
Author(s):  
Jianqiang Xiong ◽  
Le Yuan

Suspension system is the key component affecting vehicle ride comfort and finding out the main factors affecting suspension system vibration is the precondition of controlling suspension system vibration and improving vehicle comfort. Based on the principle of robustness analysis, the robustness analysis process of suspension system vibration influencing factors is constructed, in order to solve the problem, the three levels of front suspension stiffness, front suspension damping, rear suspension stiffness and rear suspension damping are selected, the experiment design scheme is adopted, power Spectrum of Class A road is used as input excitation source for suspension system simulation, the weighted acceleration root mean square simulation experiment of suspension system vibration under the influence of multiple factors is carried out.

2014 ◽  
Vol 1006-1007 ◽  
pp. 294-297 ◽  
Author(s):  
Zhi Ming Yan ◽  
Jian Jun Cai ◽  
Su Qin Qu ◽  
Fang Fang Zhai ◽  
An Rong Sun ◽  
...  

In this paper, a multi-body dynamics model of amphibious vehicle is established in terms of dynamic simulative software ADAMS/Car. The front and rear suspension system are studied and analyzed respectively. The handling stability performance of front suspension is simulated under step steering input, pulse steering input, steady turning, and meandered test in related to specifications. According to the simulation results, the handling stability of amphibious vehicle is evaluated objectively.


2020 ◽  
Vol 25 (4) ◽  
pp. 504-512
Author(s):  
Robert Pierce ◽  
Sudhir Kaul ◽  
Jacob Friesen ◽  
Thomas Morgan

This paper presents experimental results from the development of a rear suspension system that has been designed for a mountain bike. A magnetorheological (MR) damper is used to balance the need of ride comfort with performance characteristics such as handling and pedaling efficiency by using active control. A preliminary seven degree-of-freedom mathematical model has also been developed for the suspension system. Two control algorithms have been tested in this study: on/off control and proportional control. The rear suspension system has been integrated into an existing bike frame and tested on a shaker table as well as a mountain trail. Shaker table testing demonstrates the effectiveness of the damper. Trail testing indicates that the MR damper-based shock absorber can be used to implement different control algorithms. Test results indicate that the control algorithm can be further investigated to accommodate rider preferences and desired performance characteristics.


Author(s):  
Annisa Purwaningtyas ◽  
Raden Aswin Rahadi

The aim of this study is to discuss the factors affecting people’s clothing purchases through online channels. There are various online clothing channels in Indonesia, appearing in form of e-commerce platforms, online stores, even social media has become a place for people to trade goods. For this research, a synthesize of 36 papers was made from past literature reviews. The analysis and discussion result shows the factors affecting people’s online clothing purchase decision are price, promotion, product design/style, product quality, brand image, information availability, seller trustworthiness, product variety, ease of use, and service quality. These factors influence the purchase decision of the customers when they shop for clothing through online channels. The limitation of this research is only covering clothing online purchases. The result and findings from this study will be useful for clothing brand owners or managers, e-commerce platforms in Jakarta, Indonesia. In the future, a quantitative research method can be conducted to further explore this study and improve the findings of this study.


2021 ◽  
Vol 2021 ◽  
pp. 1-20
Author(s):  
Jin Gao ◽  
Xiaoping Qi

In this study, the parameters of the MacPherson front suspension and the E-type multilink rear suspension are matched to enhance the vehicle ride comfort on bump road. Vehicle vibration and suspension stiffness are analyzed theoretically. In the simulation study, the influence of the front and rear wheels on the vehicle vibration is considered, so the time-domain curves of the front and rear seat rail accelerations are processed by adding windows with two different window functions. The resulting ΔRmsLocal and ΔRmsGlobal are used as evaluation indexes of the vehicle ride comfort. The sensitivity analysis yields the magnitude of the influence of the suspension parameters on the evaluation indexes. In addition, the trends of ΔRmsLocal and ΔRmsGlobal with bushing stiffness at different vehicle speeds are discussed. The results show that longitudinal ΔRmsLocal and ΔRmsGlobal of the seat rails are influenced by the bushings mostly, while the vertical ΔRmsLocal and ΔRmsGlobal of the seat rails are influenced by the spring and shock absorber mostly. The trends of ΔRmsLocal and ΔRmsGlobal with bushing stiffness are influenced by the speed of the vehicle. Finally, the vehicle ride comfort is enhanced after optimization and matching of the suspension parameters by NSGA-II optimization algorithm.


2017 ◽  
Vol 9 (2) ◽  
pp. 109
Author(s):  
Paulina Harun ◽  
Atman Poerwokoesoemo

his study aims to: (1) to know and analyze the extent of volatility (vulnerability) of sharia banking industry in Indonesia in the face of competition (2) to know and analyze factors affecting vulnerability of sharia commercial banks; (3) to know and analyze the extent of sustainable development of sharia banking industry to Indonesia's economic development.The research conducted to measure the vulnerability (volatility) of proto folio of syariah bank using observation period 2015, and the data used is cross section data. The research design used in this research is quantitative research, using asset dimension (asset portfolio, liability portfolio, equity portfolio) and stressor (pressure, including: credit risk, market risk, and liquidity risk).The activity plan of this research is: in the initial stage of conducting theoretical study related to the vulnerability related to banking especially BUS; The next step is to determine the asset and stressor dimensions associated with the BUS; Further determine the indicators related to assets and stressors; The next step performs calculations to determine the index of each BUS as well as the dimensions that affect the vulnerabilities faced by each BUS.Target expected outcomes can be generated from this research is: for the object of research (BUS) provide a solution for BUS to deal with and overcome the vulnerabilities encountered and policies that must be done. For policy makers, the results of this study are expected to provide input in decision-making and other policies.Measurement of vulnerability to be performed related to banking operations in the face of competition and the continuity of BUS in Indonesia. The outcomes of this study are expected to be included in Bank Indonesia journals, the selection of this journal is based on studies conducted in the banking sector, especially BUS in Indonesia.


2020 ◽  
Author(s):  
Aleksandr Farseev ◽  
Yu-Yi Chu-Farseeva ◽  
Yang Qi ◽  
Daron Benjamin Loo

UNSTRUCTURED The rapid spread of the Coronavirus 2019 disease (COVID-19) had drastically impacted life all over the world. While some economies are actively recovering from this pestilence, others are experiencing fast and consistent disease spread, compelling governments to impose social distancing measures that have put a halt on routines, especially in densely-populated areas. Aiming at bringing more light on key economic and public health factors affecting the disease spread, this initial study utilizes a quantitative statistical analysis based on the most recent publicly-available COVID-19 datasets. The study had shown and explained multiple significant relationships between the COVID-19 data and other country-level statistics. We have also identified and statistically profiled four major country-level clusters with relation to different aspects of COVID-19 development and country-level economic and health indicators. Specifically, this study has identified potential COVID-19 under-reporting traits as well as various economic factors that impact COVID-19 Diagnosis, Reporting, and Treatment. Based on the country clusters, we have also described the four disease development scenarios, which are tightly knit to country-level economic and public health factors. Finally, we have highlighted the potential limitation of reporting and measuring COVID-19 and provided recommendations on further in-depth quantitative research.


Author(s):  
Gurubasavaraju Tharehalli mata ◽  
Vijay Mokenapalli ◽  
Hemanth Krishna

This study assesses the dynamic performance of the semi-active quarter car vehicle under random road conditions through a new approach. The monotube MR damper is modelled using non-parametric method based on the dynamic characteristics obtained from the experiments. This model is used as the variable damper in a semi-active suspension. In order to control the vibration caused under random road excitation, an optimal sliding mode controller (SMC) is utilised. Particle swarm optimisation (PSO) is coupled to identify the parameters of the SMC. Three optimal criteria are used for determining the best sliding mode controller parameters which are later used in estimating the ride comfort and road handling of a semi-active suspension system. A comparison between the SMC, Skyhook, Ground hook and PID controller suggests that the optimal parameters with SMC have better controllability than the PID controller. SMC has also provided better controllability than the PID controller at higher road roughness.


2021 ◽  
Vol 66 (1) ◽  
pp. 78-87
Author(s):  
Viet Vo Van ◽  
Thu Le Anh

This study was conducted with the objective of identifying the influence of service quality, university image on agricultural students’ satisfaction and loyalty. The quantitative research approach was applied. Data were collected using questionnaires with a sample size of 313 students who majored in Veterinary Medicine, Animal Husbandry, Agronomy and Plant Protection at Nong Lam University Ho Chi Minh City. The sample has been selected by convenient method. The research results show that agricultural students’ satisfactions and loyalty are affected by service quality and school image. In which, the school image has the stronger impact on student satisfaction and loyalty. From the findings, the researcher has made conclusions and some suggestions to contribute to improving student loyalty.


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