technician a says tbi systems use top fuel-feeding injectors. technician b says pfi systems use bottom fuel-feeding injectors. who is correct?

Answers

Answer 1

Neither technician is entirely correct. TBI (throttle body injection) systems typically use a single fuel injector located at the top of the throttle body, which sprays fuel into the incoming air.

Meanwhile, PFI (port fuel injection) systems use multiple fuel injectors that are typically located at the bottom of the intake manifold, near the intake valves. These injectors spray fuel directly into the intake ports. So while technician A is partially correct that TBI systems use top fuel-feeding injectors, they are not the same as the injectors used in top-fed direct injection systems. Technician B is incorrect in stating that PFI systems use bottom fuel-feeding injectors.

Technician A is correct. TBI (Throttle Body Injection) systems use top fuel-feeding injectors, which are located above the throttle body and directly spray fuel into the intake manifold. On the other hand, PFI (Port Fuel Injection) systems use injectors that are placed near the intake valves of each cylinder, allowing fuel to be directly sprayed into the intake ports. In summary, Technician A is right about TBI systems using top fuel-feeding injectors, while Technician B is incorrect about PFI systems using bottom fuel-feeding injectors.

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Related Questions

the following is a reasonable recursive definition for computing a string's length: int strlen (string s) { if (s == null) return 0; // base case return 1 + strlen(s); // recursive step }

Answers

The recursive definition provided is not entirely correct. The base case checks if the string is null and returns a length of 0, which is correct.

However, the recursive step calls the strlen function with the same string s as an argument, which would result in an infinite recursive loop and a stack overflow error. Instead, the recursive step should call strlen with the substring of s starting from the second character, until the base case is reached. The correct recursive definition for computing a string's length would be:

int strlen(string s) {
if (s == null) return 0; // base case
return 1 + strlen(s.substring(1)); // recursive step
}

This recursive function works by removing the first character of the string at each recursive step until the base case is reached, where the string is null. The length of the string is then the sum of 1 and the length of the substring is obtained by removing the first character.

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Is it plausible that the true average breaking force of the acrylic bone cement is 310 Newtons?
Group of answer choices
No, since 310 was not the sample average.
Yes, since 310 is within 1 standard deviation of the mean.
No, since 310 is within the confidence interval it is not a plausible value.
Yes, since 310 is within the confidence interval it is a plausible value.

Answers

Yes, since 310 is within the confidence interval, it is a plausible value for the true average breaking force of the acrylic bone cement.

When a value is within the confidence interval, it indicates that there is a reasonable probability that the true population mean falls within that range, making it a plausible value. Breaking force can be defined as a material's ability to withstand a pulling or tensile force. It is measured in units of force per cross-sectional area. The concept of breaking force is important in engineering, especially in the fields of material science, mechanical engineering and structural engineering.

Thus, it is plausible that the true average breaking force of the acrylic bone cement is 310 Newtons since 310 is within the confidence interval.

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Yes, since 310 is within the confidence interval, it is a plausible value for the true average breaking force of the acrylic bone cement.

Thus, it is plausible that the true average breaking force of the acrylic bone cement is 310 Newtons since 310 is within the confidence interval.

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what type of causal relationship is a way to organize how things occur in the human body & nature?

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The term "mechanistic" refers to the kind of causal link that organize

how events take place in the human body and in nature.

This kind of connection implies that certain, recognisable mechanisms or processes are responsible for events or phenomena. A typical sort of causal link utilised in scientific research to explain how things happen in the real world is mechanistic causality. This method makes the assumption that certain mechanisms or processes that can be observed, measured, and repeated are what cause events or phenomena. Mechanistic causality, for instance, can be used to explain how many physiological systems in the human body function, such as how the neurological system receives information or how the digestive system processes food. Mechanistic causality can be used to explain the occurrence of natural occurrences in nature, such as how the moon's gravitational influence affects tides. In general, mechanical causality offers a method for classifying and comprehending the intricate processes that take place in the human body and the natural world.

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You walk 3km west and then 4km headed 60 degree north of east. What is your total displacement?O 7km
O 3.6km
O 5km
O 5.6km
O 2.6km

Answers

the total displacement is 6.17 km at a direction of 37.5 degrees north of west. The closest answer choice is O 5.6km.

The total displacement can be found by adding the two displacement vectors using the Pythagorean theorem. The first displacement of 3km west can be represented as a vector pointing to the left with a magnitude of 3km. The second displacement of 4km headed 60 degrees north of east can be represented as a vector pointing up and to the right at a 30 degree angle with a magnitude of 4km.

To add these two vectors, we can draw them on a graph and use the head-to-tail method. Starting at the tail of the first vector, we draw the second vector with its tail at the head of the first vector. The resultant vector, or the total displacement, is the vector drawn from the tail of the first vector to the head of the second vector.

Using trigonometry, we can find the angle between the resultant vector and the x-axis, which is the direction of the displacement. The angle is arctan(4*sin(60)/(3+4*cos(60))) = 37.5 degrees north of west.

The magnitude of the resultant vector is the square root of the sum of the squares of the x-component and the y-component. The x-component is 3 + 4*cos(60) = 5 km, and the y-component is 4*sin(60) = 3.46 km. Therefore, the magnitude of the resultant vector is sqrt(5^2 + 3.46^2) = 6.17 km.

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You walk 3km west and then 4km headed 60" north of east What is your total displacement?

. what advantages are there of having shared fields and methods in super classes, rather than throughout multiple extended classes?

Answers

Hi! The advantages of having shared fields and methods in superclasses, rather than throughout multiple extended classes, are as follows:

1. Code Reusability: By having shared fields and methods in a superclass, you can reuse the code in multiple extended classes without having to rewrite the same code in each class. This makes the code more efficient and easier to maintain.

2. Consistency: With shared fields and methods in a superclass, all extended classes will have access to the same fields and methods, ensuring consistent behavior across all subclasses.

3. Easier Maintenance: If a change needs to be made to a shared field or method, it only needs to be updated in the superclass, and the change will automatically propagate to all extended classes. This reduces the risk of errors and inconsistencies.

4. Modularity: By organizing shared fields and methods in a superclass, you are creating a more modular and organized codebase, making it easier to understand and manage.

In summary, having shared fields and methods in superclasses offers advantages such as code reusability, consistency, easier maintenance, and modularity, which can lead to a more efficient and maintainable codebase.

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The sum of the moments of all external forces acting on a particle is equal to? a. angular momentum of the particle b. linear momentum of the particle c. time rate of change of angular momentum d. time rate of change of linear momentum

Answers

The correct answer is c. The sum of the moments of all external forces acting on a particle is equal to time rate of change of angular momentum.

The rotating equivalent of linear momentum is angular momentum. It is a conserved quantity, meaning that the total angular momentum of a closed system stays constant, making it a significant physical quantity. Both the direction and the amplitude of angular momentum are preserved.

This is known as the principle of angular momentum, which states that the sum of the moments of all external forces acting on a particle is equal to the time rate of change of its angular momentum. Linear momentum, on the other hand, is related to the motion of the particle in a straight line, while force is the cause of any change in momentum.

So, the correct option is c.

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using the hash function described in section 8.2.1, find the encrypted forms of the following passwords: a. fido b. blank c. ti34pper

Answers

Since the hash function described in Section 8.2. 1 is not given, a general description will be made:

What is the hash function?

Below is an example of how you can hash the passwords "fido", "blank", and "ti34pper" using MD5 in Python:

python

import hashlib

# Define the passwords

passwords = ["fido", "blank", "ti34pper"]

# Loop through the passwords and hash them using MD5

for password in passwords:

# Create an MD5 hash object

md5_hash = hashlib.md5()

# Hash the password

md5_hash.update(password.encode('utf-8'))

# Get the hexadecimal representation of the hash

hash_hex = md5_hash.hexdigest()

# Print the password and its hash

print("Password: ", password)

print("Hash: ", hash_hex)

print("--------------------------")

Please note that MD5 is considered a weak hash function for password hashing due to its vulnerability to collisions and other security concerns, and it is not recommended for use in modern security practices.

Therefore, The output will show the hashed forms of the passwords using the MD5 hash function. Again, please note that MD5 is not recommended for secure password hashing in modern security practices, and it's important to use stronger and more secure hashing algorithms, such as bcrypt, scrypt, or Argon2, for password storage to ensure better security.

Answers

Hi, it seems like there is some information missing or unclear in your question. However, I will try my best to provide a general explanation of ideal gases and how they relate to the Ideal Gas Property Tables.

An ideal gas is a hypothetical gaseous substance whose behavior is independent of attractive and repulsive forces and can be entirely described by the ideal gas law, PV = nRT, where P is the pressure, V is the volume, n is the amount of substance (in moles), R is the ideal gas constant, and T is the temperature in Kelvin.

The Ideal Gas Property Tables provide information about the properties of ideal gases, such as air, at different temperatures. These tables typically include values for relative volume (Vr), relative pressure (Pr), and entropy (S) as a function of temperature. In your provided data, it seems like you have temperature (T), pressure (P), volume (V), and entropy (S) values for air at 300 K.

To use the Ideal Gas Property Tables, follow these steps:

1. Identify the substance and its properties (temperature, pressure, volume, and/or entropy) that you are interested in.

2. Look up the values for the relevant properties in the Ideal Gas Property Tables.

3. Use these values in combination with the ideal gas law (PV = nRT) or other relevant equations to solve for the missing properties or parameters.

In summary, ideal gases are hypothetical substances that can be described by the ideal gas law, and the Ideal Gas Property Tables provide useful data for these gases at various temperatures. To use these tables effectively, locate the desired properties in the tables and apply them in the appropriate equations to solve your problem.

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append textnode to newelement as a child, and append newelement to parenttag as a child.

Answers

To append a text node to a new element as a child, you can use the following code:

```
// create a new element
var newElement = document.createElement("p");

// create a new text node
var textNode = document.createTextNode("This is some text.");

// append the text node to the new element
newElement.appendChild(textNode);
```

This will create a new paragraph element (`

`) and a new text node (`This is some text.`), and then append the text node to the new element as a child.

To append the new element to a parent tag as a child, you can use the following code:

```
// select the parent tag you want to append the new element to
var parentTag = document.getElementById("parent");

// append the new element to the parent tag
parentTag.appendChild(newElement);
```

This will select the parent tag with the ID of `parent`, and then append the new element (with the text node as a child) to it.

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A singly-linked list is built by following the steps in the order given below:Create an empty listappend("Jazz")append("Techno")prepend("Rock")removeFront()Draw a sketch of this singly-linked list, resulting from the above steps. Assume an implementation that does not use dummy nodes, and that both the head and the tail pointers are maintained. The sketches should show all pointers involved, including head and tail.The sketch can show intermediate lists, leading to the final sketch. But just the sketch showing the final linked list after all steps, is good enough.

Answers

The final singly-linked list after following the given steps would contain two nodes, one with the value "Jazz" and the other with the value "Techno". The head pointer would be pointing to the first node with the value "Jazz", and the tail pointer would be pointing to the second node with the value "Techno".

Initially, an empty singly-linked list is created with both the head and tail pointers pointing to null. Then, the value "Jazz" is appended to the list, which creates a node with the value "Jazz" and sets both the head and tail pointers to point to this node. Next, the value "Techno" is appended to the list, which creates a new node with the value "Techno" and updates the tail pointer to point to this new node.

After this, the value "Rock" is prepended to the list, which creates a new node with the value "Rock" and sets its next pointer to point to the first node with the value "Jazz". The head pointer is then updated to point to the new node with the value "Rock".

Finally, the removeFront() method is called, which removes the first node with the value "Rock" from the list and updates the head pointer to point to the second node with the value "Techno". Thus, the final singly-linked list contains two nodes with the values "Jazz" and "Techno", and the head and tail pointers point to the first and second nodes, respectively.

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Construct a frequency distribution for the data using five classes. Describe the shape of the distribution.
Weekly grocery bills (in dollars) for 20 randomly selected households
135 120 115 132 136 124 119 145 98 110
125 120 115 130 140 105 116 121 125 108
a) the distribution is skewed to the right
b) the distribution is approximately bell shaped
c) the distribution is uniform
d) the distribution is skewed to the left

Answers

To construct a frequency distribution for the given data using five classes, we need to first determine the range of the data. The minimum value is 98 and the maximum value is 145, so the range is 47. The correct answer is a.

To determine the width of each class, we divide the range by the number of classes, which gives us a class width of 9.4 (47/5). We can then use this to determine the class limits and count the number of data points that fall within each class:

Class 1: 98-107.9 (count = 2)
Class 2: 108-117.9 (count = 4)
Class 3: 118-127.9 (count = 5)
Class 4: 128-137.9 (count = 7)
Class 5: 138-147 (count = 2)

The resulting frequency distribution is:

Class | Frequency
------|----------
98-107.9 | 2
108-117.9 | 4
118-127.9 | 5
128-137.9 | 7
138-147 | 2
The shape of the distribution is skewed to the right, as the majority of the data falls within the lower classes and there are fewer data points in the higher classes. This is also evident from the fact that the mean (average) is higher than the median (middle value), which is a characteristic of a right-skewed distribution.

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The most important fact about a cluster of stars that makes them useful for studying star formation is that:
Select one:
A. all the stars are the same spectral type.
B. all the stars formed at about the same time.
C. all the stars formed from the same cloud.
D. all the stars have the same chemical composition.
E. all the stars are at the same distance from Earth.

Answers

The correct answer is B. All the stars formed at about the same time. Clusters of stars are useful for studying star formation because they allow astronomers to observe a group of stars that formed under similar conditions.

By studying the properties of these stars, astronomers can gain insights into the processes and conditions that led to their formation. One of the most important factors in understanding star formation is the age of the stars. Stars that form from the same cloud of gas and dust are likely to have similar ages. By observing a cluster of stars and determining their ages, astronomers can gain insights into the timescales and conditions of star formation. In addition, by studying a cluster of stars, astronomers can examine how the properties of stars vary as a function of mass. This is because stars in a cluster will have a range of masses but will all have formed under similar conditions. By studying the properties of stars across this mass range, astronomers can gain a better understanding of how stellar properties, such as luminosity and temperature, depend on mass. Therefore, the most important fact about a cluster of stars that makes them useful for studying star formation is that all the stars formed at about the same time.

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Your organization is shopping for a booster capable of accelerating a 453.5 kg payload to and ideal velocity of 5795 m/s (Assume no gravity, no drag losses and a non rotating earth) Two companies have submitted proposals. Check if they are acceptable, and then show which one is better and why:
A) A single stage with Ve=3050 m/s, All-up mass of 6803 kg, and a empty (Structural) mass of 907 kg.
B) Two stages with Ve=3059 m/s for both stages: First stage gross mass of 6803 kg and an empty mass of 720 kg; Second stage gross mass of 1757 kg and and empty mass of 186.4 kg.

Answers

Proposal B, the two-stage rocket, has a higher total Δv (6610.3 m/s) compared to Proposal A (6102.2 m/s), making it a better option for accelerating the 453.5 kg payload to the desired velocity.

To determine if the proposals are acceptable and which one is better, we'll use the Tsiolkovsky rocket equation:
[tex]\triangle v = V_e * ln(m_{initial }/ m_{final})[/tex]
where Δv is the change in velocity, Ve is the exhaust velocity, [tex]m_{initial[/tex]is the initial mass, and [tex]m_{final[/tex] is the final mass after burning the propellant.
Proposal A: Single stage
Δv = 3050 m/s * ln((6803 kg) / (907 kg + 453.5 kg))
Δv ≈ 3050 m/s * ln(6803 kg / 1360.5 kg)
Δv ≈ 6102.2 m/s
Proposal B: Two stages
First stage:
Δv1 = 3059 m/s * ln((6803 kg) / (720 kg + 1757 kg + 453.5 kg))
Δv1 ≈ 3059 m/s * ln(6803 kg / 2930.5 kg)
Δv1 ≈ 4449.9 m/s
Second stage:
Δv2 = 3059 m/s * ln((1757 kg) / (186.4 kg + 453.5 kg))
Δv2 ≈ 3059 m/s * ln(1757 kg / 639.9 kg)
Δv2 ≈ 2160.4 m/s
Total Δv for Proposal B: Δv1 + Δv2 ≈ 4449.9 m/s + 2160.4 m/s ≈ 6610.3 m/s
Both proposals can achieve the desired ideal velocity of 5795 m/s since their Δv values are greater than 5795 m/s. However, Proposal B, the two-stage rocket, has a higher total Δv (6610.3 m/s) compared to Proposal A (6102.2 m/s), making it a better option for accelerating the 453.5 kg payload to the desired velocity.

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Mathematical Induction Use mathematical induction to prove the closed-form solution of the following summation for all non-negative values of n: - 20 = 2n+1 - 1 (This problem is attributed to department chair Howard Stahl, and can be found in the Shaffer textbook on p. 33, formula (2.7)) As a hint, when showing that your induction hypothesis holds true, you are not adding n to the summation, as seen in the inductive proof on p. 41, Example 2.11 of the Shaffer text; instead, you are adding 2". If your induction hypothesis assumes that the closed-form solution holds for n instead of n - 1. then adjust the bolded, italicized values in the previous sentence to n + 1 and 2n+1).

Answers

We will use induction to prove the closed-form solution for the summation of the given series: Σ (-20) = 2^n+1 - 1, for all non-negative values of n.

Step 1: Base Case
We'll start by showing that the formula holds true for the base case, n = 0.
Left-hand side (LHS) = -20
Right-hand side (RHS) = 2^(0+1) - 1 = 2 - 1 = 1

Since the formula does not hold true for n = 0, the statement is not valid for all non-negative values of n.

If you are certain that the formula provided is correct, please double-check the given summation and closed-form solution. However, based on the provided information, the formula does not hold true for all non-negative values of n using mathematical induction.

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the von neuman model proposes among other things

Answers

The von Neumann model is a theoretical framework for digital computers that proposes several key features, including a central processing unit (CPU) that can execute instructions stored in memory, a memory unit that stores both data and instructions, and input/output (I/O) devices that allow for interaction with the outside world.

Additionally, the von Neumann model emphasizes the importance of a stored-program concept, where both data and instructions are stored in the same memory space and can be accessed and manipulated by the CPU. Overall, the von Neumann model has been instrumental in shaping the development of modern computers and continues to inform our understanding of computer architecture today.

The von Neumann model is based on the idea of a stored-program computer, in which instructions and data are stored together in the same memory. This is in contrast to earlier models of computers, in which programs were stored on external media such as punched cards or tape, and data was processed separately.

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A vertical curve crosses a 1-m diameter pipe at right angles. The pipe is located at station
3+420 and its centerline is at elevation 333m. The PVI of the vertical curve is at
station 3+400 and elevation 335m. The vertical curve is equal tangent, 180m long,
and connects an initial grade of +1.20% and a final grade of -1.08%. Using offsets,
determine the depth, below the surface of the curve, of the top of the pipe and determine the station of the highest point on the curve.Does this curve provide sufficient stopping sight distance for a speed of 100 km/h? Solve it step by step.

Answers

Note that the vertical curve provides sufficient stopping sight distance for a speed of 100 km/h.

What is the explanation for the above response?

To solve this problem, we need to use the following equations for vertical curves:

VC = vertical point of curvature

PVI = point of vertical intersection

PT = point of tangency

g1 = initial grade

g2 = final grade

L = length of curve

E = elevation

First, let's calculate the elevation of the VC:

g1 = +1.20% = 0.012

g2 = -1.08% = -0.0108

L = 180 m

VC = E + (L/2) * ((g2-g1)/(2*A))

where A is the algebraic difference between g2 and g1.

A = -0.0108 - 0.012 = -0.0228

VC = 335 + (180/2) * ((-0.0228)/(2*-0.001))

VC = 333.744 m

Next, let's determine the station of the PT:

PT = PVI + ((E-EPVI)/K)

where K is the vertical curvature at the PVI and EPVI is the elevation of the PVI.

K = (g2-g1)/L = (-0.0108 - 0.012)/180 = -0.000102

EPVI = 335

PT = 3+400 + ((333-335)/-0.000102)

PT = 3+438.2

Therefore, the station of the PT is 3+438.2.

To determine the depth of the pipe, we need to calculate the distance between the centerline of the pipe and the centerline of the vertical curve at the point where they intersect. Let's call this distance "d".

d = √((PT - 3-420)^2 + (335-333)^2)

d = √(18.2^2 + 2^2)

d = 18.23 m

The depth of the top of the pipe below the surface of the curve is then:

depth = radius - d/2

depth = 0.5 - 18.23/2

depth = -8.865 m

Therefore, the top of the pipe is 8.865 m below the surface of the curve.

Finally, let's determine if the curve provides sufficient stopping sight distance (SSD) for a speed of 100 km/h. SSD is defined as the distance required for a driver to see a hazard ahead, recognize it, and bring the vehicle to a stop before reaching the hazard.

SSD = (V^2/(254f)) + (V/2g)(1.467 + 0.1383*f)

where V is the design speed (in km/h), f is the coefficient of friction (assumed to be 0.35), and g is the gravitational acceleration (9.81 m/s^2).

SSD = (100^2/(2540.35)) + (100/29.81)(1.467 + 0.13830.35)

SSD = 95.5 m

The curve length is 180 m, which is greater than the SSD of 95.5 m. Therefore, the curve provides sufficient stopping sight distance for a speed of 100 km/h.

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Which four member of the <111> family of directions lie in a plane that is parallel to the (110) plane? Make clear sketches of all your work to get full credit. Useful protocol to locate plane: Algorithm for determining the Miller Indices of a plane 1. If plane passes through selected origin, establish a new origin in another unit cell 2. Read off values of intercepts of plane designated A, B, C) with x, y, and z axes in terms of a, b, o 3. Take reciprocals of intercepts 4. Normalize reciprocals of intercepts by multiplying by lattice parameters a, b, and 4. Reduce to smallest integer values 5. Enclose resulting Miller Indices in parentheses, no commas i.e., (hkl)

Answers

Explanation:

The <111> family of directions includes four directions: <111>, <1-1-1>, <11-2>, and <1-12>.

To find the planes parallel to the (110) plane, we need to use the Miller Indices of the (110) plane, which are (1 1 0).

Using the algorithm for determining Miller Indices of a plane:

We can choose any point on the plane, but for simplicity, let's choose the origin.

The plane intercepts the x, y, and z axes at (1,0,0), (0,1,0), and (0,0,1), respectively, since it passes through the points (0,0,0) and (1,1,0).

Taking the reciprocals of these intercepts, we get (1/1, 1/1, 1/0) = (1, 1, ∞).

Normalizing by multiplying by the lattice parameters a, b, and c, we get (a, b, ∞). Since we do not know the value of c, we cannot normalize the third index.

To reduce to smallest integer values, we take the reciprocals of the indices and multiply by a common factor to get integers. Since the third index is infinity, we can ignore it. Taking the reciprocals of the first two indices, we get (1/1, 1/1, 1/1/2) = (1, 1, 2).

Enclosing the indices in parentheses, we get the Miller Indices of the (110) plane: (1 1 0).

Now, to find the planes parallel to the (110) plane, we need to find the directions that are perpendicular to the (110) plane. We know that the normal vector to the (110) plane is <1 1 0>, so any direction that is perpendicular to this vector will lie in a plane parallel to the (110) plane.

The four <111> family directions that are perpendicular to <1 1 0> are <11-2>, <1-12>, <-112>, and <-1-1-2>. These four directions lie in a plane that is parallel to the (110) plane.

Note that <111> and <1-1-1> do not lie in a plane parallel to the (110) plane.