Handheld Gripping Device

Utilizing parametric design to develop a handheld device that mechanically assists gripping when lifting and carrying unwieldy sheet materials

An individual project completed during 3rd year of University

The Problem

Sheet materials are being used increasingly often in the construction industry. Plasterboard (or drywall) is the most commonly used example. These materials are generally not excessively heavy; the sheet of plasterboard above would have a mass of approximately 20kg. This is below the expected carrying capacity for construction workers but enough that manually gripping the sheet solely from one edge is unviable. Instead of their mass, the challenge of manually handling these sheet materials stems from their unwieldy dimensions. A variety of methods are currently used: carrying with the long side vertical, carrying with multiple people, or carrying flat overhead. These methods are either inefficient or present avoidable safety hazards.

In order to better transport these sheet materials, a gripping device can be used to lift the board from its top edge. This also removes the need to bend over to lift sheet materials, lessening long-term lower body strain.

Design Concept

Base Concept

Gripper Mechanism

The mechanism itself is a compound lever that works to both multiply the user's gripping force on the handle (exerted downwards) and to transfer the friction force from the left grip pad into a clamping force exerted by the right grip pad.

The handle allows the user direct control over the gripper. Their fingers apply the downward gripping force while their palm and shoulder carry the weight of the sheet material.

Utilizing Parametric Design

Input Parameters

For this design, the efficacy of the mechanism differs greatly depending on the lengths and relative angles of each link. The number of parameters, the variety of load materials, and the relative complexity of the physical interaction mean finding an analytical solution for the optimal combination of links and angles is impossible. 

Instead, parametric design was used. The idea was to develop a model that could automatically evaluate the performance of the mechanism, and test multiple procedurally-generated iterations, finally selecting the most effective.

Analytical Model

Constraints and Objectives

For an analytical model to be built, objectives and constraints need to be determined. 

One objective is minimizing the mass of the mechanism, which is dependent on the total length of links as well as their required radii. The required radius for each link is dependent on the stress it must withstand. The other objective is maximizing the Total Force Ratio. This is defined as the grip force the user needs to apply to the handle to lift a certain load, divided by the weight of that load. Since the Total Force Ratio differs depending on the thickness and surface texture of the sheet material being lifted, a weighted average value was calculated across 18 common usage situations. 

Most of the constraints are geometrical: all the links must be straight (with the exception of link 1); all links must be fixed length (with the exception of link 3); the vertical distance between the two pads must not be large enough to cause failure at any point; the links must not collide with other links or pads at any point; the mechanism must allow for the horizontal distance between the pads faces to smoothly vary between 0mm and 50mm (determined by researching competing products and reviewing common usage situations). Further constraints can be found in the full report.

Comparison of Competing Devices' Grip Ranges

Due to the added complexity (and therefore cost) of this gripping device relative to its competitors, it's essential it outperforms them in this area.

Checking Constraints

The first section of the analytical model examines whether the generated parameters fit the constraints. Trigonometric equations allow for the locations of every link and pad to be calculated for all mechanism positions. Therefore, the grip range of the mechanism can be automatically evaluated. The same equations can be used to see whether any pair of links will collide at any point. Though, In order to check whether the grip pads will collide with links during motion, the lower bound for the grip pads' height needs to be found.

Finite Element Analysis was used for this. Multiple iterations of the assembly below were analysed with varied vertical displacements between the grip pads.

The analysis showed that the proportion of force transferred between the pads through the load material is 80% up to the point where the ratio between the vertical displacement and pad height is equal to 0.4. As the ratio increases beyond 0.4 the proportion of force transferred decreases drastically. This means the minimum pad height is 2.5 times larger than the maximum vertical distance between the pads. Since the maximum vertical distance between the pads can also be calculated trigonometrically, the required pad height can be found for any iteration of the mechanism.

Evaluating the Total Force Ratio

If the mechanism iteration doesn't break any of the currently calculatable constraints, the model begins to evaluate how well it achieves the objectives. First, it calculates the Total Force Ratio (the user-provided gripping force needed to grip a certain load divided by the weight of that load). To do this, the force transfer through the mechanism needs to be understood. There are two modes of force transfer between the grip pads: 

Key:

Input Force

Result Force

Force Transfer Through the Load Material

The force from the right grip pad, as well as the weight of the load material, creates a force in the left grip pad. The Coulomb friction model was used to evaluate the frictional force on the left grip pad.

The proportion of force transferred from the right grip pad to the left grip pad was found in the earlier analysis to be 0.8 (when within the mechanism's working conditions).

Force Transfer Through the Mechanism

The friction and reaction forces on the left grip pad create a moment about the rightmost pinned joint. The friction force comprises most of the moment. The compound lever mechanism transfers this moment into the right grip pad, gripping the load material using its own weight. The Force Ratio depends on the lengths of the four links. 

The user-provided grip forces is also transferred through the mechanism into the right grip pad.

By creating equations to represent each of these modes of force transfer, an iterative model was developed to describe the behaviour of the mechanism as it lifted a load material. The model begins with the initial condition of the load material at rest on the ground, and the user applying no force on the handle. Then, the user-applied force steadily increases and the cyclical force transfer equations iteratively predict the step of the process. This repeats until the user-applied force has reached its theoretical maximum. 

The point where the frictional gripping force between the two pads is larger than the load material's weight is the point where the material can be lifted. The user-supplied grip force at this point is the minimum necessary and is used to calculate the Total Force Ratio.

Since the Total Force Ratio differs depending on the load material's thickness and surface, the model is repeated for multiple lifting scenarios. This is simulated by altering each plate's coefficient of friction with the load material as well as the horizontal and vertical distance between the plates.

Example Results for One Mechanism Iteration for One Load Situation

From the graph, you can see the Total Available Grip Force increase until it is sufficient to hold the load material's weight. The force the user must apply to the handle to reach this state is also clear from the graph. This can be used to calculate the Total Force Ratio for this Load Situation and mechanism iteration.

Example Results for One Mechanism Iteration Across All Load Situations

The graph shows how the Total Force Ratio varies depending on the load material. It is considered advantageous for a gripper to provide more assistance with heavier loads, as those are the situations where the gripper is most needed. Depending on this and how often the load situation arises, these values are weighted and averaged to get a one-number evaluation: the Average Total Force Ratio (ATFR).

Evaluating the Relative Mass

The other objective is minimizing mass. Since the value for mass is only used for comparative purposes, approximations can be made regarding stress behaviour and material properties.

To calculate the minimum mass for each mechanism iteration, the stresses in each link must be known. The forces and moments acting on each link can be found using the above iterative mechanism behaviour model. Then, by approximating each link as a beam, their minimum viable radii can be found.

Beam Approximation for Link 1

Failure due to shear stress and failure due to normal stress were both considered. Normal stress includes both the stress due to bending as well as the axial, tensile/compressive stresses on the beam. The minimum beam radius to prevent failure under the loads given by the iterative model (with a safety factor of 4) was calculated for each link. Since the total length of each link is also known, the total mass of the links can be calculated trivially.

The pads themselves contribute a significant proportion of the mechanism's mass, so their weight must also be calculated even for comparative purposes. The minimum pad height is already calculatable as described above, so what remains are the lower bounds for the pad width and pad thickness.

The minimum pad width can be found using the constraint that the mechanism must be able to grip sheet material even when the gripping position is displaced horizontally up to 50mm from the sheet's centre of mass. 

The required pad thickness uses a stress-based approach similar to when calculating the minimum link radii. Each pad is modelled as a simply supported rectangular plate with a force applied through a circular area at its centre. Using the forces from the iterative behaviour model and the known stress equation for this situation, the minimum pad thickness can be found. 

With all this information an approximate value for the mass of each mechanism iteration can be automatically calculated. 

Results

Objective Comparison Graph

Thousands of iterations of the mechanism were procedurally generated; each iteration that passed the automatically-tested constraints is shown on this graph. For the purposes of a more real-world-applicable test objective, the weighted average required gripping force for all 18 load situations is displayed instead of the ATFR.

It can be seen that there is a weak negative correlation between the mass of the mechanism and the required gripping force. The optimal mechanism is the one that best balances the two objectives. It is marked on the graph in black and red. 


While other mechanism iterations appear to perform better than the optimal, those iterations were found through manual inspection to be unviable. In the vast majority of cases, this was due to required link radii large enough relative to the link's length to prevent the mechanism from functioning as modelled. A future addition to the process would be to automatically detect and remove the iterations with this flaw.

For comparative purposes, a mechanism iteration with manually chosen values for each parameter was also generated and modelled. This is shown on the graph in green. It can be seen that the optimal design generative through the parametric design process is a significant improvement on this manually created one; the average grip force required is 24.8% lower and its mass is 12.2% lower. 

CAD Mock-ups

Created using CAD software (Fusion360)

Physical Representation of the Current Optimal Solution

Physical Representation of a Random Output Solution

Evaluation

Evaluating the success of the project is challenging. The model shows that the optimized version reduces the pure gripping force needed to lift a standard 2400mm by 1200mm by 12.5mm plasterboard sheet by a factor of 6, while the mechanism only has an estimated mass of 8.96kg. Judging from these numbers, the project would be deemed a success. However, as the project was conducted during the Covid-19 pandemic, creating a prototype to validate these figures, or running experiments to validate assumptions made during the modelling process wasn't possible. For example, the finite element analysis regarding the maximum viable vertical displacement between the pads would have to be physically verified. Also ideally, a very rough physical version of the base concept mechanism would be created before the parametric optimization process began in order to ensure the mechanism functions as predicted.

As discussed earlier, the parametric design process yielded significant improvement over the manually created mechanism. These improvements were absolutely worthwhile relative to the increased difficulty and cost of the development process. However, it is likely a better iteration could still be found. Computing power and time limited the number of iterations that could be tested. A rigorous method could be used to generate the values for the parameters, reducing the likelihood of an optimal solution being simply missed. Another stage of optimization using far smaller variations could be carried out on the current optimal design.

The parametric optimization could also be improved by incorporating more constraints and more diligently calculating the objectives. For example, the possibility of fracture failure in the links and pads is not considered in the model and may give a higher upper bound for the mechanism's mass. Constraints such as the maximum link radius could also be implemented. Considerations of forces and friction losses at joints could influence decisions regarding joint design and optimal force transfer.

Another avenue for possible improvement is revisiting and altering the base design. For example, the base mechanism could be changed to alter the relative movement paths of the two pads, minimizing their vertical displacement. Also, fixed parameters such as the position where the links and pads are joined, and the join method and geometry could be incorporated into the parametric optimization process. 

A further possibility is expanding the scope of the project to look at the gripper product as a whole rather than focusing on solely the bare-bones mechanism. The handle ergonomics, the viability of supporting the load material's weight on the user's shoulder, and the ease of affixing the gripper to the load material are a selection of issues that must be addressed before the gripper could be a viable, practical product.

 For access to the full design report, get in touch at Michaelsvanidze0@gmail.com.