Biomedical Research

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Biomechanical analysis of electric powered wheelchair by reverse engineering modelling technology

Mai S. Mabrouk1*, Samir Y. Marzouk2 and Heba M. Afify3

1Department of Biomedical Engineering, MUST University, Egypt

2Departement of Basic and Applied Science, Arab Academy of Science and Technology, Egypt

3Department of Bioelectronics Engineering, MTI University, Egypt

*Corresponding Author:
Mai S. Mabrouk
Department of Biomedical Engineering
MUST University,Egypt

Accepted on January 10, 2017

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Abstract

Wheelchair technology is one of the most significant technologies in biomechanics sector. The demand of Electric Powered Wheelchairs (EPWs) has been increasing due to improving the lifestyles of patients suffering from one or more disabilities, including motor control problems, spinal injuries, arthritis, balance disorders and amputation under the term of rehabilitation technologies. Hence, the healthcare research has made several plans for improving control of EPW to provide well-being, and safety by minimal cost. On the other hand, Reserve Engineering (RE) is a powerful technique for creating a new model to uncover the features of commercial products and enhance them. As such, we applied RE to develop a functional model through teardowns that designed by SolidWorks 3D Computer Aided Design (CAD) software to provide the full specifications of EPW. Moreover, we implemented an Arduino microcontroller to change the EPW directionality by using a joystick. This model evaluates the flexibility and wireless control of EPW by adding further improvements such as an ultrasonic sensor and Bluetooth connection. Ultrasonic sensor acts as an emergency stop switch to notify the patient when roaming close to an obstacle as a safety precaution. Bluetooth connection device allows the patient to remotely control the electric wheelchair if it was out of reach or there’s no one close to assist. The main characteristic of our model is mobility performance without depending on others’ help that based on an affordable cost.

Keywords

Electric powered wheelchairs, Rehabilitation, Reserve engineering, SolidWorks, Computer aided design.

Introduction

Improved wheelchair mobility could be an important factor in realizing increased independence for patients unable to walk. It attempts to restore human abilities that have been reduced or lost by disease, accident or aging [1]. Manual wheelchairs can be operated by patients who have the use of their upper body or someone available to assist [2]. EPWs have been developed to be used when neither of these cases is available. However, there have been few advances made with EPW due to lack of a high level of user control thus it can result in injury to the patient during the EPW operating process.

The capability of patients to push their own wheelchair successfully is affected by three main factors: patient characteristics (e.g. type and degree of disability, patient dimensions, patient weight and patient age), wheelchair properties (e.g. size and weight of wheelchair, size and type of wheels and tires, axle position, backrest height and use of armrests), and wheelchair/patient interface (e.g. patient adapt and adjust of the chair for patient). The most basic task of the chair is to take input from the patient, usually in the form of a small joystick and translate that motion into power to the wheels to move in the desired direction. The earliest research by Beekman [3] explained that patients with paraplegia and tetraplegia have the ability of mobility readily by using lightweight wheelchairs instead of standard wheelchairs. Brown et al. [4] presented a model for PID controller implemented on a microprocessor, which is used for joystick controllers of EPWs. This model lacks stability. Furthermore, it is an inappropriate for wheelchair's motion changes.

In recent decades, many biomechanical studies have discussed the possibilities of EPW to improve the stability and mobility of handicapped patients who are too weak to propel themselves [5,6]. Rentschler et al. [7] discussed five types of EPW which included three Rear Wheel Drive (RWD), one Mid-Wheel Drive (MWD) and one Front Wheel Drive (FWD). These were implemented on set of experiments which provided an important influence on moving with stability and safety.

Wheelchairs that based on renewable energy systems (batteries and solar panels) have been studied in another research [8], in which solar panels have been found to be employed as a good and cheap source of energy. However, the time taken to charge the chair was an obstacle. If chair charge need to be increased, many number of panels needed to be fitted resulted in increasing the wheelchair weight. Humaira et al. [9] produced a successful prototype of an Electric Wheelchair (EWC) of US $ 400, while the minimum cost of EWC was around US$ 1100 in USA. In this prototype, a 40-pin PIC18F4520 microcontroller was used to secure EWCs movement in the required direction after received a signal from the joystick. Information gathered [10] was purposed to raise awareness of wheelchair technology and improve the performance of patient who relied on EPW. Moreover, it enhanced many parameters such as velocity, traction, suspension, stability, and navigation.

Due to advances of computerized technology, Ambient Company has developed a device for intercepted electrical signals sent by brain to larynx in an attempt to speak [11]. It was used as a guide for wheelchair, and enables patients to cross without moving or speaking loudly. Ambient was used in the Rehabilitation Institute of Chicago to support patients with nervous system problems by computer and electronic devices regardless of their inability of muscle control.

Generally, RE technique [12] is used as a learning tool to disassemble, examine and analyse the product or device for reproducing with different mechanisms. In addition, it discovers the concepts involved in manufacture in order to produce something similar. The process of RE is a three-phase process that includes scanning, point processing, and application geometric development. CAD models generation within RE is required to produce the accurate representation by three-dimensional reconstruction. Additionally, its arrangement is stable and has less error of data transfer formats [13]. Yu [14] focused on the engineering application of RE based on measurement machine and CAD software. Recently, the powerful RE technique is used for modelling the biostructures in the mechanical analysis. Thus, building comprehensive developments for biomechanical analysis, particularly for prostheses framework [15].

The outstanding progresses in rehabilitation field have created excitement about EPW manufacture now and for the future. Therefore, this study used the 3D CAD which had been constructed by means of RE technique to design new and compatible wheelchairs. The latest is cheaper than that currently used. We developed an affordable device with advanced features based on moving in different directions easily. All connections between motors, microcontroller and joystick were introduced.

Materials and Methods

The model of EPW was applied with RE by using CAD program and mechanical systems. An example of CAD program is SolidWorks software [16], which provides detailed drawings that are manually fed to the computer. According to a lightweight wheelchair structure, this model was designed to carry a disabled person with maximum 100 Kilograms (Kg) including equipment and body weight. Figure 1 explained the RE mechanical components. RE modelling and analysis, and redesign [17] as shown in Figure 2. The first phase is divided in five steps; the first step includes investigation, prediction, and hypothesis. The second step is concrete experience, the third step is function, the forth step is engineering constraint and the fifth step is characterizations form. The main objectives of the first phase are treating, experiencing the operating factors, analysing the customer needs and deducing product components. The second phase is based on two steps including, design models and design analysis that is used to development, analysis, calibration, and experimentation of model. The third phase is based on the product redesign from the results of the RE and modelling phases. Redesign phase consists of a parametric redesign that is used for optimization analysis of the design models, an adaptive redesign that is used product components and subassemblies and original redesign that is needed to fulfil the customer needs. Functional analysis step from the RE phase is directed to the redesign phase.

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Figure 1: Mechanical components of reserve engineering.

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Figure 2: General composition of reverse engineering, modelling and analysis, and redesign technology.

Experimental work

Drive wheel motor torque: We assumed the model criteria as shown in Table 1.

Parameters Value
Gross Vehicle Weight (GVW) 300 Kg
Weight on each drive wheel (WW) 4.5 Kg
Radius of wheel/tire (Rw) 0.1 m
Desired top speed (Vmax) 0.25 m/s
Desired acceleration time (ta) 1 sec
Maximum incline angle (a) 20 degree
Worst working surface Sand (good)
Resistance Factor (RF) 1.3

Table 1. Vehicle design criteria.

The RF is resistance factor that accounts frictional losses between bearings and axles. Standard values are between 1.1 and 1.15. There are many factors that affected on calculation of maximum torque [18,19] such as the following.

1) Rolling Resistance (RR): is based on vehicle weight and rolling resistance factor during motion of the vehicle as in Equation 1.

RR [lb]=GVW [lb] × Crr [-] → (1)

where Crr=surface friction as shown in Table 2.

Contact surface Crr
Concrete (good/fair/poor) 0.010/0.015/0.020
Asphalt (good/fair/poor) 0.012/0.017/0.022
Wood (dry’ dusty wet) 0.01/0.005/0.001
Snow (2 inch/4 inch) 0.025/0.037
Dirt (smooth/sandy) 0.025/0.037
Mud (firm/medium/soft) 0.037/0.090/0.150
Grass (firm/soft) 0.55/0.075
Sand (firm/soft/dune) 0.060/0.150/0.300

Table 2. Rolling resistance factors.

Grade resistance (GR): is based on gravitational force that used to drag the vehicle back when it is scaling an oblique surface as in Equation 2.

GR [lb]=GVW [lb] × sin (α) → (2)

2) Acceleration force (FA): is based on needed force to stop the maximum speed in the required time as in Equation 3.

FA [lb]=GVW [lb] × Vmax [ft/s]/(32.2 [ft/s2] × ta [s]) → (3)

3) Total tractive effort (TTE): is based on three forces RR, GR, and FA as in Equation 4.

TTE [lb]=RR [lb]+GR [lb]+FA [lb] → (4)

4) Wheel motor torque (Tw): is based on the TTE as in Equation 5.

Tw [lb-in]=TTE [lb] × Rw [in] × RF [-] → (5)

Mechanical and electrical equipment

The EPW is moved via an electric DC motor and a navigational control system which consists of a small joystick mounted on the armrest, rather than manual one. It is designed by two major components, the power base containing two DC motors, wheels, and a control module. For this work, some of the electrical and electronic components are briefly described as follows:

• Arduino mega 2560: it is a microcontroller board based on the ATmega1280. It has 54 input pins, 15 output by Pulse Wave Modulation (PWM). It has 128 KB of flash memory, and 8 KB of static random access memory. All features of this microcontroller board are explained in [20].

• Analog joystick module (4 Directions): It is a physical device that used to control in movement. It needs to determine the angle and direction on two axes: -X-axis and Y-axis. X-axis refers to left and right directions but Y-axis refers to up and down directions. The Analog joystick consists of a momentary push button and two potentiometers. Speed values of joystick are between 0 and 1023 and threshold values are between 462 and 562 as in Figure 3. Figure 4 explained the flow chart of motor control by using Joystick.

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Figure 3: Threshold values of joystick.

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Figure 4: Flowchart of motor control via joystick.

• Motor driver BTS7960 43A: it has a voltage of 24 V and a current of 43 A. It requires a high amount of current which bridges for motor drive control, especially for controlling a high power motor such as the MY1016Z2 DC motor that used to Maneuver the electric wheelchair. The main specifications of the motor driver are illustrated in [21]. The motor driver is used an H-Bridge [22] as the main concept of operation to control the DC motors.

• DC motor: it is a device which converts electrical energy into mechanical energy. DC motor used in this model is the MY1016Z2-250W DC motor manufactured by Yeuqing Instruments. The specifications of the motor are given in [23]. This motor improved the efficiency, save power and its price is low.

• Ultrasonic range HC-SR04: it extends to range 2 cm-400 cm and accuracy can reach to 3 mm. This device includes ultrasonic transmitters, receiver, and control unit. Ultrasonic sensors evaluate the execution time between sending the signal and receiving the echo to calculate the distance to an object [24].

• Bluetooth-HC05-module: it is a wireless device for exchanging data over short distances from mobile devices, and building Personal Area Networks (PANs). It provides range of 10 meters. It is widely used for wireless network such as GPS device, and remote control. It consists of radio, memory chips, 26 MHz crystal, and antenna as in [25].

• Fan speed controlled by temperature and arduino: it is used for monitoring the DC fan speed depending on the temperature reading by an LM35 sensor. The LM35 is precision integrated-circuit calibrated directly in degree Celsius. Its linear scale factor+10 mV/°C. Its ensured accuracy is 0.1 degree Celsius. This will make it as an advantage over linear temperature. It is rated from -50°C to +150°C. A Liquid Crystal Display (LCD) shield is used to show the temperature and speed of the fan. In this model, the BD139 transistor, and a 9 V battery are utilized. The LM35 temperature sensor and red led are provided with 5 V from the microcontroller board. A configuration circuit for fan speed controller by temperature and Arduino is described in [26].

The block diagram of our model which is composed of all the components listed earlier is given in Figure 5.

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Figure 5: Block diagram of the electric wheelchair control.

Results

From the above calculation of mechanical parts by using Equations 1-5, we found that TW equals 322 N. M and torque of each wheel is 200 N. m approximately (2000 Kg/cm-1). We used the concept of RE technology and all vehicle design parameters for modelling the EPW. The design of our model is presented by 3D SolidWorks mechanical design automation software which is used parametric characteristics for producing synthesis model. Parameters indicated to the values for definition the form of the model. Parameters divided into numeric parameters (e.g. line length, circle diameter) and geometric parameters (e.g. tangent, parallel, concentric, horizontal, and vertical). Numeric parameters are linked to geometric parameters by different relations, which allowed them to complete the required design.

In our work, we measured distance, angle, and size of between lines, points and surfaces by calliper and meter. After taking measurements of the chair, we have entered the measured data in SolidWorks.

Here the most instructions in SolidWorks for design:

1) Sweep: create model shape by moving a 2D design profile along a 2D or 3D design path. There are different options of this powerful feature.

2) Fillet: create rounded external or internal faces on the parts.

3) Extrude cut: is another cool feature which helps to remove material from a 3D model.

4) The circular pattern: property manager appears when the user pattern one or more features around an axis.

5) Mirroring features: this ability is found at part level and creates a copy of one or more features mirrored about a face or a plane.

6) An assembly design: consists of some assembled components by using parametric relations. In SolidWorks, these relations are known as mates that provided the dealing with components freely.

We presented details of implementation stages by using SolidWorks in Figures 6-20.

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Figure 6: Lower chaises.

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Figure 7: Middle chaises.

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Figure 8: Piston base.

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Figure 9: Piston arm.

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Figure 10: Upper chaises.

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Figure 11: Chair back chaises.

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Figure 12: Left and right arm.

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Figure 13: Arm rest.

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Figure 14: Motor left and right.

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Figure 15: Back wheels.

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Figure 16: Front wheels.

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Figure 17: Front wheel chaises.

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Figure 18: Bottom sponge.

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Figure 19: Bottom sponge.

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Figure 20: Back sponge.

Figure 21 showed the complete wheelchair assembly. All wheelchair specifications are given in Table 3.

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Figure 21: Complete wheelchair assembly.

Description Measurements
Seat width 47 cm
Neat depth 46 cm
Armrest height 25 cm
Seat height 48 cm
Back height 46 cm
Overall open width 65 cm
Overall length 80 cm
Weight w/o 55Kg
Weight capacity 140 kg
Rear wheel size 31 cm
Front wheel size 19 cm
Footrests height 10 cm

Table 3. Technical specifications of the model.

The mechanical and electrical components that were used to build this model incurred a cost as in Table 4. It should be noted that our model costs 5675 EGP (nearly US$ 600), which is less than commercially available price at US$ 1100. The comparison between the EPWs from different manufacturers that already used in Egypt market is given in Table 5.

Description Category Quantity Price
Rear wheels Mechanical 2 1000
Front wheels Mechanical 2 200
DC motors 24 V Electronic 2 1500
Chair skeleton Electronic 1 300
Intelligent battery charger Electronic 1 200
Tablet Electronic 1 400
Wires+Cables Electronic - 50
Battery (12 V) Electronic 2 920
Digital ultrasonic module for Arduino Electronic 2 60
DC motor driver Electronic 2 300
Arduino Mega 2560 Electronic 1 370
Bluetooth HC-05 Electronic 1 75
Model joystick 4 direction Electronic 1 50
Board components Electronic   250
Total cost 5675 EGP   5675 EGP

Table 4. Parts list and cost of the model.

Type Spare parts Price (EGP)
Egypt Non 7,000
China Available 8,000
Taiwan Non 9,000
Korea Non P,000
Germany Available 15,000

Table 5. Comparison between the EPW Prices in Egypt.

Discussion

Because of the market potential and rapid advances in biomechanics, notable progress is being made in wheelchairs. The EPW evaluation is based on the quality, safety, and costeffectiveness of wheelchairs. Efficient EPW model with a low cost is presented. Our EPW model is distinguished from most other similar EPW in its attempts to use practical components for minimizing maintenance concerns through simplicity and durability.

Overall, this model consists of software and hardware interface parts. SolidWorks designing software was established to build 3D CAD model with full specifications of EPW by using RE technology. The implementation of RE technology allowed reusing past data for design composition model [27]. It facilitates analysis of the model that based on historical product data and produces practical developments during product assembly procedures. For example, General Motors Company have vehicles assessment center that dissected and analysed 40 of rivals’ vehicles every year by using a “teardown” process [28] to learn how much each component costs for producing, how to achieve lower costs, and how to progress industrialization process. By using RE technology, marketplace trends and competitiveness can be defined. This technology extended to product teardowns of mechanical and electronics as shown in our model.

For hardware parts, the core of this model is the Arduino Mega 2560 microcontroller which is also capable of functioning as a micro web server and the interface for all the hardware parts [29]. A microcontroller is controlled by DC motors for transmission in all directions or to stop by using a joystick. All communication and controls in this model passed through this microcontroller effectively. A recent development controlled EPW was implemented using the Bluetooth device and ultrasonic sensor. Bluetooth device is used for wireless control of the electric wheelchair and enables it to work as a standalone device. We have used two ultrasonic sensors that stable at a known distance. Speed of the object is estimated by divided the distance between the two sensors by the time difference of the object. The ultrasonic sensor is designed for easy usage and much cheaper with outstanding performance, especially in an automated device.

Another interesting feature is control of components temperature. The temperature of electrical components is affected by the ambient temperature of the environment, the heat produced by the components, and the efficiency of heat removal provided by the thermal system. Component temperature can be decreased by improving any of these factors. Based on fan Speed controlled by temperature, more efficient component gives off less heat and the advanced thermal system is capable of quickly removing heat.

Finally, disabled patients are challenged for operating the EPW in different environments. Hence, the EPW designed in this model is a successful electronic device that provided for patients the ability to recover part of their mobility and ease the lives of patients suffering from one or more disabilities. It is certainly important to continue to implement appropriate biomechanical advances of EPW in order to improve the health and benefit of a patient with disabilities.

Conclusion

Based on the principles of RE technology, we applied RE technology in the design and manufacturing of EPW by using SolidWorks 3D CAD. EPWs have improved the quality of life for many patients with physical disabilities through the mobility they provide. The EPW acts as a good bio-test for mechanical and electrical integration packages due to the compact and multifaceted nature of the vehicle. The cost of EPW manufacturing processes is increasing rapidly, for which many patients might not be able to afford the rising costs. This paper discussed how both electrical and mechanical implementations have turned the wheelchair into a smart and adaptive vehicle with a low cost. It also examined the most recent advances in EPW technology by using Bluetooth and ultrasonic sensor. Moreover, this model may be a guide for future trends to enhance the rehabilitative and assistive needs of patients. It would be interesting to redevelop of EPWs technology to give patients access to perform the daily tests with themselves easily.

References