Parts Breakdown Power Head Assembly – All Models

 

 

 

 

 

 

 

 

 

#.

Part #

Description

Per Unit

#.

Part #

Description

# Per Unit

1.

157167

Frame

1

17.

157496

5/16” Motor Spacers

3

 

2.

292123

Motor – 1/2 H.P.

1

18.

157166

Wired Sensor Mounting Bracket

2

 

3.

306137

Motor Control Board (all

1

18a.

157159

Wireless Sensor Wall Mounting

2

 

 

 

models)

 

 

 

Bracket

 

 

4.

306364

Power Supply Cord

1

19.

157165

Wired Sensor Sliding Bracket

2

 

5.

260570

Capacitor – 1/2 H.P.

1

19a

157162

Wireless Sensor Mounting Bracket

2

 

6.

306486

Wiring Harness

1

20.

250597

Wired Receiving Unit

1

 

7.

269025

Light Socket

1

20a

260598

Wireless Transponder Unit

1

 

8.

260552

Lens

1

21.

260600

Wired Sending Unit

1

 

9.

252994

MOV Surge Suppressor

1

21a

260599

Wireless Sending Unit

1

 

10.

252993

Limit Switch

1

22.

252092

Limit Assembly (includes items

1

 

 

 

 

 

 

 

#10, 27 & 26

 

 

11.

252125

Sub-Frame

1

23.

249321

LED interrupter

1

 

12.

260532

End-Cap

1

24.

260556

Limit Driver Gear

1

 

13.

260530

Housing

1

25.

157039

Interrupter Disk

1

 

14.

260525

Gear, Driven

1

26.

260557

Shaft, Limit Driver

1

 

15.

251248

Screw 1/4-20 x 3/8

7

27.

157055

Limit Adjuster

2

 

16.

249257

Capacitor Clamp

1

 

 

 

 

 

30

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Quantum 3414, 3314, 3214, 3316 user manual Parts Breakdown Power Head Assembly All Models

3316, 3314, 3214, 3414 specifications

Quantum 3414, 3316, 3214, and 3314 represent a series of cutting-edge technologies that have emerged in the field of quantum computing and advanced materials science. Each of these models offers unique features and capabilities designed to push the boundaries of computational power and efficiency.

The Quantum 3414 is distinguished by its robust architecture and high-performance qubit system. It utilizes superconducting qubits, which provide exceptional coherence times and operational fidelity. This model is particularly well-suited for complex algorithm implementations, making it an attractive choice for researchers focused on quantum simulations and machine learning applications. Its innovative design integrates quantum error correction mechanisms that enhance reliability and reduce error rates.

Following closely, the Quantum 3316 emphasizes versatility and scalability. This model introduces a modular approach to quantum systems, enabling users to expand their computational resources as their needs grow. It features a hybrid quantum-classical architecture, allowing for greater flexibility in algorithm execution while leveraging classical computing's strengths. The 3316 is ideal for industries looking to optimize operational efficiency through quantum-enhanced processes.

The Quantum 3214 focuses on user accessibility and simplified integration into existing technological ecosystems. This model is equipped with an intuitive interface and user-friendly programming capabilities, catering to both seasoned quantum developers and newcomers. The 3214 also adopts cutting-edge quantum networking technologies, facilitating the remote connection of quantum systems for collaborative research and development.

Lastly, the Quantum 3314 combines power and compactness. Though smaller in form factor, this model does not compromise on performance. It employs advanced cryogenic technology to maintain optimal operating conditions for qubits, thus enhancing thermal stability and minimizing noise. The 3314 is particularly suitable for environments where space is limited yet high performance is essential, such as academic laboratories and research institutions.

Overall, the Quantum 3414, 3316, 3214, and 3314 each present a variety of sophisticated features tailored to specific applications within the quantum domain. From research and development to practical industrial applications, these models signify a significant leap forward in harnessing quantum technologies for future advancements. Their unique characteristics make them valuable tools for overcoming the challenges faced in the ever-evolving landscape of computing and science.