ApiaryActiveLive
Try: pause · settings · learn · wipe
← Community / Reading Room
GF
Magnetism · 7 min read

Goodness factor

The goodness factor is a quantitative metric devised by the British engineer Eric Laithwaite to evaluate the efficiency of electric motors, particularly those…

The goodness factor is a quantitative metric devised by the British engineer Eric Laithwaite to evaluate the efficiency of electric motors, particularly those that do not employ permanent magnets. By comparing the electrical resistance of a motor’s windings to the magnetic reluctance of its core, the goodness factor provides a quick indicator of how effectively a motor converts electrical energy into mechanical work. In this article we examine the origin, mathematical basis, practical implications, and historical significance of the goodness factor, and we discuss how it has informed the design of modern magnetic‑levitation induction motors.


1. Historical Context

1.1 Eric Laithwaite – A Pioneer in Electric Motor Design

Eric Laithwaite (1915‑2008) was a prolific inventor and engineer whose work spanned a wide range of electrical and mechanical systems. He is perhaps best known for his contributions to the development of magnetic levitation (maglev) technology and high‑efficiency electric motors. Laithwaite’s research into motor efficiency led him to formulate the goodness factor, a simple yet powerful way to compare motors of different sizes and designs.

1.2 The Need for a Universal Efficiency Metric

Prior to the introduction of the goodness factor, engineers relied on a patchwork of performance indicators—such as torque, speed, power output, and specific power—to evaluate motor efficiency. These metrics often required detailed knowledge of a motor’s internal construction and were not easily comparable across different motor types. Laithwaite sought a parameter that would:

  1. Capture the core physics of motor operation (resistance and reluctance).
  2. Be independent of motor size to allow comparison between small prototypes and large industrial units.
  3. Guide design decisions toward higher efficiency.

The result was a concise formula that links the motor’s angular frequency, electrical resistance, and magnetic reluctance.


2. The Mathematical Foundation

2.1 Basic Definition

The goodness factor \(G\) is defined as:

\[ G = \frac{\omega}{\text{resistance} \times \text{reluctance}} \]

where:

  • \(\omega\) is the angular frequency at which the motor is driven.
  • Resistance refers to the electrical resistance of the motor’s windings.
  • Reluctance is the magnetic reluctance of the core path.

This simple ratio encapsulates the interplay between electrical and magnetic losses in a motor.

2.2 Expanded Form

Laithwaite further expressed the goodness factor in terms of the motor’s physical dimensions and material properties:

\[ G = \frac{\omega \mu \sigma A_{\mathrm{e}} A_{\mathrm{m}}}{l_{\mathrm{e}} l_{\mathrm{m}}} \]

where:

  • \(\mu\) is the permeability of the core material.
  • \(\sigma\) is the electrical conductivity of the conductor (usually copper or aluminum).
  • \(A_{\mathrm{e}}\) and \(A_{\mathrm{m}}\) are the cross‑sectional areas of the electric and magnetic circuits, respectively.
  • \(l_{\mathrm{e}}\) and \(l_{\mathrm{m}}\) are the lengths of the electric and magnetic circuits.

This form makes explicit how geometry and material choice influence motor efficiency.

2.3 Interpretation of the Formula

  • Higher \(\omega\) (faster rotation) increases \(G\), suggesting that high‑speed motors can be more efficient if other parameters are held constant.
  • Lower resistance (thicker conductors or better conductors) increases \(G\), reinforcing the importance of copper or aluminum windings.
  • Lower reluctance (larger core cross‑sections, shorter magnetic paths, higher permeability) also boosts \(G\).

Thus, a motor with large magnetic and electric cross‑sections, short paths, and high‑conductivity windings will score well on the goodness factor.


3. Practical Implications

3.1 Efficiency Threshold

Laithwaite noted that goodness factors above 1 are indicative of motors that are likely to be efficient. While this is not a hard rule, it provides a quick screening tool: if \(G > 1\), the motor’s design is on the right track; if \(G < 1\), the motor may suffer from excessive resistive or magnetic losses.

3.2 Size Matters

One of Laithwaite’s key observations was that the goodness factor tends to favor larger motors. This is because larger motors can afford larger cross‑sections \(A_{\mathrm{e}}\) and \(A_{\mathrm{m}}\) and shorter lengths \(l_{\mathrm{e}}\) and \(l_{\mathrm{m}}\) while maintaining manageable resistance. Consequently, high‑efficiency motors are often relatively large.

3.3 Applicability to Non‑Permanent‑Magnet Motors

The goodness factor is explicitly derived for non‑permanent‑magnet motors—those that rely on induced magnetic fields rather than permanent magnets. Laithwaite’s work does not directly apply to permanent‑magnet motors, which have different loss mechanisms (e.g., hysteresis and eddy currents in the magnet material). Therefore, while the goodness factor is a powerful tool for induction and reluctance motors, it must be used with caution for other motor types.


4. Derived Proportionality for Simple Induction Motors

For a simple induction motor, Laithwaite derived a proportional relationship:

\[ G \propto \frac{\omega \mu_0 p^2}{\rho_{\mathrm{r}} g} \]

where:

  • \(\mu_0\) is the magnetic permeability of free space.
  • \(p\) is the pole pitch arc length (the angular distance between two adjacent poles).
  • \(\rho_{\mathrm{r}}\) is the surface resistivity of the rotor.
  • \(g\) is the air gap between the rotor and stator.

4.1 What This Means

  • Pole pitch (\(p\)): Increasing the pole pitch (i.e., making the poles larger) improves \(G\) quadratically. This reflects the benefit of larger magnetic flux paths in reducing reluctance.
  • Rotor resistivity (\(\rho_{\mathrm{r}}\)): Lower surface resistivity (better conductor or thicker rotor bars) increases \(G\).
  • Air gap (\(g\)): A smaller air gap reduces reluctance, thereby raising \(G\).

This proportionality highlights the critical design levers for induction motors: pole size, rotor material, and air‑gap clearance.


5. Design Guidance Derived from the Goodness Factor

5.1 Selecting Conductors

  • Use high‑conductivity materials (copper, aluminum).
  • Increase conductor cross‑section \(A_{\mathrm{e}}\) to reduce resistance.
  • Consider stranded conductors to improve cooling and reduce skin effect at high frequencies.

5.2 Core Geometry

  • Maximize core cross‑section \(A_{\mathrm{m}}\) to lower reluctance.
  • Shorten magnetic path \(l_{\mathrm{m}}\) by minimizing the number of turns or using high‑permeability cores.
  • Employ laminated cores to reduce eddy current losses, which effectively reduce magnetic reluctance.

5.3 Rotor Design

  • Minimize surface resistivity \(\rho_{\mathrm{r}}\) through material choice and proper bar dimensions.
  • Reduce air gap \(g\) while ensuring adequate clearance for thermal expansion and mechanical tolerances.

5.4 Operating Frequency

  • Higher angular frequency \(\omega\) improves \(G\), but practical limits exist due to heating and mechanical stress.
  • Balance the speed with cooling capabilities and load characteristics.

6. Limitations and Caveats

6.1 Scope of the Metric

  • Only for non‑permanent‑magnet motors: The formula does not account for losses unique to permanent‑magnet systems.
  • Ignores mechanical losses: Friction, bearing wear, and windage are not captured in \(G\).
  • Static snapshot: It does not reflect dynamic behavior such as transient response or load variation.

6.2 Practical Measurement Challenges

  • Accurately determining reluctance requires detailed knowledge of magnetic circuit geometry and material properties.
  • Measuring resistance at the operating frequency can be affected by skin effect and proximity effect.

Despite these limitations, the goodness factor remains a valuable first‑pass indicator of motor design quality.


7. Historical Impact on Motor Development

7.1 Magnetic Levitation Induction Motors

Laithwaite’s work on the goodness factor underpinned the design of magnetic levitation induction motors—a class of motors that levitate the rotor, eliminating mechanical contact and thereby reducing friction losses. By maximizing \(G\), these motors achieve high efficiency and low maintenance requirements.

7.2 Influence on Industry Standards

While the goodness factor itself has not become an industry standard, its principles permeate modern motor design guidelines. Engineers routinely consider the ratio of electrical resistance to magnetic reluctance when optimizing for efficiency, especially in high‑speed or high‑torque applications.

7.3 Educational Value

The goodness factor is often taught in advanced electrical engineering courses to illustrate the interplay between electromagnetic theory and practical design constraints. It serves as a bridge between textbook equations and real‑world motor performance.


8. Summary

  • The goodness factor \(G\) is a concise metric for evaluating the efficiency of non‑permanent‑magnet electric motors.
  • Defined as \(G = \omega / (\text{resistance} \times \text{reluctance})\), it encapsulates the trade‑off between electrical and magnetic losses.
  • A value above 1 typically indicates an efficient motor, and larger motors tend to score higher due to their favorable geometry.
  • For simple induction motors, \(G\) is proportional to \(\omega \mu_0 p^2 / (\rho_{\mathrm{r}} g)\), highlighting key design levers: pole pitch, rotor resistivity, and air‑gap size.
  • The metric has guided the development of magnetic levitation induction motors and remains a useful tool for engineers seeking to optimize motor efficiency.

FAQ

What is the goodness factor and who developed it? The goodness factor is a metric for evaluating the efficiency of non‑permanent‑magnet electric motors, developed by Eric Laithwaite.

How is the goodness factor calculated? It is calculated as \(G = \omega / (\text{resistance} \times \text{reluctance})\), or equivalently \(G = \omega \mu \sigma A_{\mathrm{e}} A_{\mathrm{m}} / (l_{\mathrm{e}} l_{\mathrm{m}})\).

What does a goodness factor above 1 indicate? A value above 1 generally suggests that the motor is likely to be efficient, though it is not an absolute guarantee.

Does the goodness factor apply to permanent‑magnet motors? No, it is specifically derived for non‑permanent‑magnet motors and does not account for losses unique to permanent‑magnet systems.

Can the goodness factor help in designing high‑speed motors? Yes; since the factor includes angular frequency \(\omega\), it highlights the benefits of higher speeds while also emphasizing the need to manage resistance and reluctance.

Frequently asked
What is the goodness factor and who developed it?
The goodness factor is a metric for evaluating the efficiency of non‑permanent‑magnet electric motors, developed by Eric Laithwaite.
How is the goodness factor calculated?
It is calculated as \(G = \omega / (\text{resistance} \times \text{reluctance})\), or equivalently \(G = \omega \mu \sigma A_{\mathrm{e}} A_{\mathrm{m}} / (l_{\mathrm{e}} l_{\mathrm{m}})\).
What does a goodness factor above 1 indicate?
A value above 1 generally suggests that the motor is likely to be efficient, though it is not an absolute guarantee.
Does the goodness factor apply to permanent‑magnet motors?
No, it is specifically derived for non‑permanent‑magnet motors and does not account for losses unique to permanent‑magnet systems.
Can the goodness factor help in designing high‑speed motors?
Yes; since the factor includes angular frequency \(\omega\), it highlights the benefits of higher speeds while also emphasizing the need to manage resistance and reluctance.
References & sources
  1. Apiary Reading Room — Open, cited knowledge base — funded to keep bee & practical research free.
From the Apiary Reading Room. Opinion & editorial — not financial advice. We don't overclaim.
More from the Reading Room